Alternatives to DeepGit

Compare DeepGit alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to DeepGit in 2026. Compare features, ratings, user reviews, pricing, and more from DeepGit competitors and alternatives in order to make an informed decision for your business.

  • 1
    Fork

    Fork

    Fork

    Fork is getting better and better day after day and we are happy to share our results with you. Fork gently informs you about GitHub notifications without being annoying. Resolve your merge-conflicts easily using the merge-conflict helper and built-in merge-conflict resolver. Edit, reorder and squash your commits using visual interactive rebase. Fork allows you to see diffs for the common image formats. Fork's Diff Viewer provides a clear view to spot the changes in your source code quickly. With history view you can find all commits where a particular file or directory was changed. With blame view you can find the last commit which changed a particular file line.
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    Sublime Merge

    Sublime Merge

    Sublime HQ

    Line-by-line Staging. Commit Editing. Unmatched Performance. With a zippy cross-platform GUI toolkit, an unmatched syntax highlighting engine, and a custom high-performance Git reading library, Sublime Merge sets the bar for performance. Commit exactly what you want with line-by-line and hunk staging. Select one or more lines to split hunks into multiple changes. With the power of Sublime Text syntax highlighting, you can understand exactly what's been changed in a commit. With over 40 supported languages out of the box, and automatic loading of installed third-party syntaxes, we've got you covered.
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    GitLens

    GitLens

    GitKraken

    GitLens unlocks the untapped knowledge within each repository to help visualize code authorship by leveraging CodeLens and Git blame to expose your Git history at every line of code. Seamlessly navigate and explore Git repositories, gain valuable insights via powerful comparison commands, and unleash the full power of Git without breaking your development flow. While GitLens is powerful and feature-rich, it is also highly customizable to meet your specific needs — find code lens intrusive or the current line blame annotation distracting — no problem, it is quick and easy to turn them off or change how they behave. At the end of each line of code, you’ll find an unobtrusive current line blame annotation showing the commit and author who last modified the line. Check out the status bar blame to see similar information.
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    DeepCover

    DeepCover

    DeepCover

    Deep Cover aims to be the best coverage tool for Ruby code. More accurate line coverage, and branch coverage. It can be used as a drop-in replacement for the built-in Coverage library. It reports a more accurate picture of your code usage. In particular, a line is considered covered if and only if it is entirely executed. Optionally, branch coverage will detect if some branches are never taken. MRI considers every method defined, including methods defined on objects or via define_method, class_eval, etc. For Istanbul output, DeepCover has a different approach and covers all def and all blocks. DeepCover doesn't consider loops to be branches, but it's easy to support them if needed. Even after DeepCover is required and configured, only a very minimal amount of code is actually loaded and coverage is not started. To make it easier to transition for projects already using the builtin Coverage library deep-cover can inject itself into those tools.
    Starting Price: Free
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    GitKraken Desktop
    GitKraken Desktop: The Git GUI Built for Speed, Scale & Sanity Trusted by over 40 million developers and 100,000+ teams worldwide, GitKraken Desktop is the powerhouse Git client that transforms version control into a smooth, efficient experience. Whether you work in VS Code, ship from the terminal, or manage projects in the cloud, GitKraken helps you tame Git with precision. From AI-powered merge conflict resolution to visual commit history, interactive rebase, multi-repo workflows, and deep integrations with GitHub, GitLab, Bitbucket, Azure DevOps, and more, it’s the Git GUI that scales with you. Fast. Intuitive. Cross-platform. GitKraken Desktop is more than a Git client... it's your DevEx control center.
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    smiAware
    Our Deep Report illustrates a subject’s total online presence. Our Export service preserves evidence before it disappears. Our research bundle lets you combine the features of the Deep Report with the Research Bundle. And we also offer custom projects such as litigation support, class action support, deposition screening and expert witness and jury selection. In-depth Investigations that cover complex networks, social media and the deep web. The investigations are tailored to the defined search criteria provided by the client in order to find specific information. Our Export provides defensible web and social media evidence by obtaining the source code and metadata to secure the digital chain of custody, which is far superior to a screenshot. Our Export provides defensible web and social media evidence by obtaining the source code and metadata to secure the digital chain of custody, which is far superior to a screenshot.
    Starting Price: $25 one-time payment
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    Genedata Imagence
    Genedata Imagence® lets you train a deep neural network to classify cellular phenotypes in HCS images for unbiased, high-quality results. It automates your analysis to put the power of deep learning algorithms in the hands of assay biologists. Genedata Imagence empowers biologists to directly and immediately analyze HCS imaging data using sophisticated deep learning techniques without any specialized algorithmic expertise. Don’t shroud your analysis under abstract lines of code. The Genedata Imagence intuitive interface allows you to easily QC and explore data every step of the way.
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    Sourcetree

    Sourcetree

    Atlassian

    Simplicity and power in a beautiful Git GUI. Sourcetree simplifies how you interact with your Git repositories so you can focus on coding. Visualize and manage your repositories through Sourcetree's simple Git GUI. Say goodbye to the command line - simplify distributed version control with a Git client and quickly bring everyone up to speed. Perfect for making advanced users even more productive. Review changesets, stash, cherry-pick between branches and more. Seeing really is believing. Get information on any branch or commit with a single click. A fully-featured GUI that offers an efficient, consistent development process right out of the box. Works with Git and Mercurial. Visualize your work and push with confidence. Stage and discard changes by the file, hunk or line. Never miss a thing. Stay on top of your work and up to date with your code at a glance. Detailed branching diagrams make it easy to keep up with your team's progress.
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    DeepScribe

    DeepScribe

    DeepScribe

    DeepScribe’s AI-powered scribe captures the natural conversation between a clinician and patient and automatically writes medical documentation, allowing clinicians to focus on patient care instead of note-taking. Through an easy-to-use mobile app, DeepScribe records the natural clinical encounter and transcribes it in real time. Our proprietary AI then extracts the medical information from the transcript, classifies it into a standard note, and then integrates that note directly into a clinician’s electronic health record system. Unlike traditional scribes, dictation tools, or other solutions, the ambient nature of DeepScribe means it doesn’t intrude on the patient visit or disrupt the clinical workflow. Providers can simply talk to their patient like normal, then review their notes after the visit and sign-off in their EHR. DeepScribe handles documentation, charting, and even populates suggested diagnostic coding based on the information extracted from the visit.
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    DeepPy

    DeepPy

    DeepPy

    DeepPy is a MIT licensed deep learning framework. DeepPy tries to add a touch of zen to deep learning as it. DeepPy relies on CUDArray for most of its calculations. Therefore, you must first install CUDArray. Note that you can choose to install CUDArray without the CUDA back-end which simplifies the installation process.
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    Deep 6 AI

    Deep 6 AI

    Deep 6 AI

    Deep 6 AI disrupts the clinical trial enrollment process by transforming the way researchers identify eligible patients. Using artificial intelligence and natural language processing to mine structured and unstructured patient data, DEEP 6 AI finds more, better-matching patients for trials in minutes, not months. Deep 6 AI works with some of the most prominent health systems, pharma companies, and CROs in the world --making the DEEP 6 platform a crucial step in their clinical research workflow and greatly accelerating patients’ access to clinical trials. Deep 6 AI finds more patients for clinical trials in minutes rather than months, getting life-saving cures to people more quickly. Deep 6 AI’s software analyzes structured data, such as ICD-10 codes, and unstructured clinical data, including doctor’s notes, pathology reports, operating notes and other important medical data in free-text form that cannot be searched easily.
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    DeepCode AI
    DeepCode AI has always been the backbone of Snyk code, which is why it's the fastest, most accurate SAST on the market. DeepCode AI, powering the Snyk platform, utilizes multiple AI models, is trained on security-specific data, and is all curated by top security researchers to give you all the power of AI without any of the drawbacks. With 11 supported languages, and multiple AI models, Snyk's DeepCode AI was designed to find and fix vulnerabilities and manage tech debt. DeepCode AI powers Snyk's one-click security fixes and comprehensive app coverage, letting developers build fast while staying secure. Our specialized DeepCode AI is built and refined by top-tier researchers that use training data from millions of open source projects, never customer data. DeepCode AI's hybrid approach uses multiple models and security-specific training sets for one purpose, to secure applications.
    Starting Price: $25 per month
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    Dragoneye

    Dragoneye

    Dragoneye

    Personalize your results by selecting categories of interest and optimizing detection sensitivity. Combine our detection building blocks into powerful conditions. Map them to your custom data labels for easy integration with your existing systems. Detect new custom attributes such as SKU or item condition, even if you don’t have a lot of data. Our model's deep understanding of object categories means that we can deliver fantastic real-world accuracy with just a few images. All changes happen on server which means instant deployment. Paired with smart or deep links in app, you can refine features and add functionality on the fly.
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    Hootz

    Hootz

    Hootz

    Hootz is an AI-powered productivity companion for macOS that automatically tracks app and website usage second by second, categorizing activities like coding, email, design, and social media, so you can see exactly where your time goes without setting timers. It gently nudges you away from distractions by blocking selected apps and websites during guided focus sessions, and offers customizable Pomodoro sprints enhanced with optional breathing exercises and curated offline music to help you dive into deep work. Seamless macOS Calendar integration displays planned events alongside actual activity, while custom goals for total work hours, project-specific time, or deep-focus sessions keep you accountable. Hootz delivers actionable daily, weekly, and monthly visual reports, showing time breakdowns, top distractions, productivity patterns, and progress toward goals, so you can reflect, adjust, and continuously improve.
    Starting Price: $1,193 one-time payment
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    Gitfox

    Gitfox

    bytieful e.U.

    If you think your Git repositories deserve the best, you should absolutely get Gitfox. This lightweight Git client has been written exclusively for macOS and definitely looks like it belongs here. Use one coherent interface to make sense of your repository, improve your code quality and commit faster! Superior Diffs Know what's changed — don't guess. Inline Changes are highlighted to take the guesswork out of your diffs. Image Diffs help you make sure the correct assets go into your project. Line Staging breaks your work down into smaller steps. Only commit what you want to. Powerful Tools Find anything with full-text search and query highlights. Resolve merge conflicts in just one click. Manage features, bug fixes, and releases with integrated Git-Flow support.
    Starting Price: €39.99 per user per year
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    DeepSeekMath
    DeepSeekMath is a specialized 7B parameter language model developed by DeepSeek-AI, designed to push the boundaries of mathematical reasoning in open-source language models. It starts from the DeepSeek-Coder-v1.5 7B model and undergoes further pre-training with 120B math-related tokens sourced from Common Crawl, alongside natural language and code data. DeepSeekMath has demonstrated remarkable performance, achieving a 51.7% score on the competition-level MATH benchmark without external tools or voting techniques, closely competing with the likes of Gemini-Ultra and GPT-4. The model's capabilities are enhanced by a meticulous data selection pipeline and the introduction of Group Relative Policy Optimization (GRPO), which optimizes both mathematical reasoning and memory usage. DeepSeekMath is available in base, instruct, and RL versions, supporting both research and commercial use, and is aimed at those looking to explore or apply advanced mathematical problem-solving in AI contexts.
    Starting Price: Free
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    Deep Dream Generator

    Deep Dream Generator

    Deep Dream Generator

    Create inspiring visual content in a collaboration with our AI-enabled tools. The technique is a much more advanced version of the original Deep Dream approach. It is capable of using its own knowledge to interpret a painting style and transfer it to the uploaded image. This tool is a simplified version of the Deep Style one. It is not capable of creating advanced transformations but it still shines with some exceptional results. It is also noticeably faster than the Deep Style. Initially, it was invented to help scientists and engineers to see what a deep neural network is seeing when it is looking at a given image. Later the algorithm has become a new form of psychedelic and abstract art. A set of tools that make it possible to explore different AI algorithms. We focus on creative tools for a visual content generation like those for merging image styles and content or such as Deep Dream which explores the insight of a deep neural network.
    Starting Price: Free
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    Git Cola

    Git Cola

    Git Cola

    Git Cola is a sleek and powerful graphical user interface for Git. Git Cola is free software and written in Python (v2 + v3). The editor used by Ctrl-e is configured from the Preferences screen. The environment variable $VISUAL is consulted when no editor has been configured. Configuring your editor to gvim -f -p will open multiple tabs when editing files. gvim -f -o uses splits. When you select a line in the grep screen and press any of Enter, Ctrl-e, or the Edit button, you are taken to that exact line. Git Cola has many useful keyboard shortcuts. Many of Git Cola’s editors understand vim-style hotkeys, eg. {h,j,k,l} for navigating in the diff, status, grep, and file browser widgets. The Git Cola interface is composed of various cooperating tools. Double-clicking a tool opens it in its own subwindow. Dragging it around moves and places it within the main window. Tools can be hidden and rearranged however you like. Git Cola carefully remembers your window layout and restores it.
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    Deep Block

    Deep Block

    Omnis Labs

    Deep Block is the world's fastest AI-powered remote sensing imagery analysis solution. Train your own AI models to detect instantly any objects in large satellite, aerial, and drone images. Deep Block's no-code data labeling interface lets you achieve your MLOps projects in days, with no prior expertise. Instead of hiring your own in-house AI engineering team, anybody can start training their own AI. If you have a mouse and a keyboard, you can use our web-based platform, check our project library for inspiration, and choose between 9 out-of-the-box AI training modules (image segmentation, object detection, facial detection, facial comparison…) to get you started. The power of Deep Block is not limited to training your own AI. Once, your AI model is ready, Deep Block's high-performance AI models can deliver very accurate results when detecting objects (0.9 mAP) and with minimum false positives (0.9 recall).
    Starting Price: $10 per month
  • 20
    Ludwig

    Ludwig

    Uber AI

    Ludwig is a low-code framework for building custom AI models like LLMs and other deep neural networks. Build custom models with ease: a declarative YAML configuration file is all you need to train a state-of-the-art LLM on your data. Support for multi-task and multi-modality learning. Comprehensive config validation detects invalid parameter combinations and prevents runtime failures. Optimized for scale and efficiency: automatic batch size selection, distributed training (DDP, DeepSpeed), parameter efficient fine-tuning (PEFT), 4-bit quantization (QLoRA), and larger-than-memory datasets. Expert level control: retain full control of your models down to the activation functions. Support for hyperparameter optimization, explainability, and rich metric visualizations. Modular and extensible: experiment with different model architectures, tasks, features, and modalities with just a few parameter changes in the config. Think building blocks for deep learning.
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    TestLeft

    TestLeft

    SmartBear

    Build, test, and deploy new features in Eclipse, IntelliJ, and Visual Studio for agile development. Build, test, and deploy in one integrated development environment so you can focus on what matters, code. TestLeft is a developer automated testing tool that can be added to your integrated development environment (IDE) so you can immediately test the UI of new features right after they are built. TestLeft allows you to test at the unit and UI level so you can fix defects earlier in the product lifecycle to save time to let you code more. Without having to manually program descriptions for every object, you can start running functional tests sooner to accelerate your shift left efforts. You can add TestLeft to Visual Studio, Eclipse, IntelliJ or any other IDE. Avoid additional steps getting started by adding the TestLeft UI Spy into any preexisting DevOps pipeline. With support for Jenkins, Bamboo, and other popular CI/CD tools, you can test your application’s UI layer.
    Starting Price: $1,345 per year
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    TortoiseGit

    TortoiseGit

    TortoiseGit

    TortoiseGit is a Windows Shell Interface to Git and based on TortoiseSVN. It's open source and can fully be build with freely available software. Since it's not an integration for a specific IDE like Visual Studio, Eclipse or others, you can use it with whatever development tools you like, and with any type of file. Main interaction with TortoiseGit will be using the context menu of the Windows explorer. TortoiseGit supports you by regular tasks, such as committing, showing logs, diffing two versions, creating branches and tags, creating patches and so on. TortoiseGit provides overlay icons showing the file status, a powerful context menu for Git and much more. It is developed under the GPL. Which means it is completely free for anyone to use, including in a commercial environment, without any restriction. The source code is also freely available, so you can even develop your own version if you wish to.
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    CodeMender

    CodeMender

    Google DeepMind

    CodeMender is an AI-powered agent developed by DeepMind for automatically finding, diagnosing, and patching security vulnerabilities in software code. It combines advanced reasoning abilities (via Gemini Deep Think models) with program analysis tools, static analysis, dynamic analysis, differential testing, fuzzing, and SMT solvers, to identify root causes of flaws, generate high-quality fixes, and validate them to avoid regressions or functional breakage. CodeMender operates by proposing patches that adhere to style rules and structural correctness, and then uses critique and verification agents to check changes and self-correct if issues arise. It can also proactively rewrite existing code using safer APIs or data structures (for example, applying -fbounds-safety annotations to prevent buffer overflows). To date, CodeMender has upstreamed dozens of patches in large open source projects (including ones with millions of lines of code).
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    Plumbr

    Plumbr

    Plumbr

    Expose metrics and set up alerts for ops. Detect and prioritize root causes for dev. Complete the devops feedback loop. Configure your application to send traces using Plumbr Agents. Capture end-to-end traces from user interaction throughout the microservices in the back-end. No code changes, no sampling, pure joy! Plumbr APM uses tracing to provide insights into your application’s performance. Plumbr has deep expertise in APM technology including Java profiling, byte code instrumentation (BCI), database monitoring and real user monitoring. Plumbr will help us equip customers with the power of Java Profiling and BCI, which is critical for deep visibility into traditional Java and .Net enterprise applications.
    Starting Price: $84 per month
  • 25
    LineSheets Pro

    LineSheets Pro

    SellersCommerce

    LineSheets Pro is an easy-to-use automatic catalog maker for sales reps to create catalogs on the fly, without depending on a designer. Drag & drop products. Select a cool template. Add the details you want. Take a deep breath. Voila! A high-quality, print-ready catalog or line sheet will be sitting ready at your fingertips to be shared with your prospects as PDFs. Instead, use that budget to give your sales team a raise. Because with LineSheets Pro's intuitive design tools, a plethora of templates, and drag & drop functionalities, your sales reps won't just be able to create gorgeous line sheets and lookbooks but do it faster than even the most seasoned designers. Line sheets, catalogs, and flyers made on LineSheets Pro can be downloaded as PDFs and easily shared with your prospects without having to visit them in person.
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    GitEye

    GitEye

    CollabNet

    CollabNet GitEye is a desktop for Git. It works with TeamForge, CloudForge and other Git services. GitEye combines a simple-to-use graphical Git client with central visibility into essential developer tasks such as defect tracking, Agile planning, code reviews and build services. GitEye is a graphical Git client for Windows, OSX and Linux. CollabNet GitEye provides a simple-to-use graphical Git client with central visibility into essential developer tasks such as defect tracking, agile planning, code reviews and build services. It’s easy to get started. GitEye works with multiple Git implementations including TeamForge, CloudForge and GitHub, and runs on most platforms. Say good-bye to the command line. Simple-to-use graphical Git client provides access to all vital Git functions including clone, commit, merge, rebase, push, fetch, pull, stash, stage, reset and more.
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    Ray

    Ray

    Anyscale

    Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.
    Starting Price: Free
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    ERNIE X1 Turbo
    ERNIE X1 Turbo, developed by Baidu, is an advanced deep reasoning AI model introduced at the Baidu Create 2025 conference. Designed to handle complex multi-step tasks such as problem-solving, literary creation, and code generation, this model outperforms competitors like DeepSeek R1 in terms of reasoning abilities. With a focus on multimodal capabilities, ERNIE X1 Turbo supports text, audio, and image processing, making it an incredibly versatile AI solution. Despite its cutting-edge technology, it is priced at just a fraction of the cost of other top-tier models, offering a high-value solution for businesses and developers.
    Starting Price: $0.14 per 1M tokens
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    GitForce

    GitForce

    GitForce

    It is designed to be easy and intuitive to use and yet powerful enough so you don't need to use a command line git. GitForce is written in C# and uses .NET 3.5 framework. The same binary file (“GitForce.exe”) runs as-is on both Windows and Linux operating systems (or any other OS with Mono support). The tool consists of only one executable file and needs no installer – just copy it to a folder of your choice and run it. Consequently, the main requirements are having .NET support (or Mono runtime on Linux) and the actual git command line tool, already installed and working. That said, GitForce is still powerful enough to be used exclusively, without calling up a command line git tool. It likely fully satisfies needs of a great majority of users. I hope that this tool will help many users who are new to git and also to people already familiar with Perforce (a similar source control front-end tool.)
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    Magit

    Magit

    Magit

    Magit is a complete text-based user interface to Git. It fills the glaring gap between the Git command-line interface and various GUIs, letting you perform trivial as well as elaborate version control tasks with just a couple of mnemonic key presses. Magit looks like a prettified version of what you get after running a few Git commands but in Magit every bit of visible information is also actionable to an extent that goes far beyond what any Git GUI provides and it takes care of automatically refreshing this output when it becomes outdated. In the background Magit just runs Git commands and if you wish you can see what exactly is being run, making it possible for you to learn the git command-line by using Magit. Using Magit for a while will make you a more effective version control user. Magit supports and streamlines the use of Git features that most users and developers of other Git clients apparently thought could not be reasonably mapped to a non-command-line interface.
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    DeepSeek-Coder-V2
    DeepSeek-Coder-V2 is an open source code language model designed to excel in programming and mathematical reasoning tasks. It features a Mixture-of-Experts (MoE) architecture with 236 billion total parameters and 21 billion activated parameters per token, enabling efficient processing and high performance. The model was trained on an extensive dataset of 6 trillion tokens, enhancing its capabilities in code generation and mathematical problem-solving. DeepSeek-Coder-V2 supports over 300 programming languages and has demonstrated superior performance on benchmarks such surpassing other models. It is available in multiple variants, including DeepSeek-Coder-V2-Instruct, optimized for instruction-based tasks; DeepSeek-Coder-V2-Base, suitable for general text generation; and lightweight versions like DeepSeek-Coder-V2-Lite-Base and DeepSeek-Coder-V2-Lite-Instruct, designed for environments with limited computational resources.
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    EXAONE Deep
    EXAONE Deep is a series of reasoning-enhanced language models developed by LG AI Research, featuring parameter sizes of 2.4 billion, 7.8 billion, and 32 billion. These models demonstrate superior capabilities in various reasoning tasks, including math and coding benchmarks. Notably, EXAONE Deep 2.4B outperforms other models of comparable size, EXAONE Deep 7.8B surpasses both open-weight models of similar scale and the proprietary reasoning model OpenAI o1-mini, and EXAONE Deep 32B shows competitive performance against leading open-weight models. The repository provides comprehensive documentation covering performance evaluations, quickstart guides for using EXAONE Deep models with Transformers, explanations of quantized EXAONE Deep weights in AWQ and GGUF formats, and instructions for running EXAONE Deep models locally using frameworks like llama.cpp and Ollama.
    Starting Price: Free
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    DeepSeek-V2

    DeepSeek-V2

    DeepSeek

    DeepSeek-V2 is a state-of-the-art Mixture-of-Experts (MoE) language model introduced by DeepSeek-AI, characterized by its economical training and efficient inference capabilities. With a total of 236 billion parameters, of which only 21 billion are active per token, it supports a context length of up to 128K tokens. DeepSeek-V2 employs innovative architectures like Multi-head Latent Attention (MLA) for efficient inference by compressing the Key-Value (KV) cache and DeepSeekMoE for cost-effective training through sparse computation. This model significantly outperforms its predecessor, DeepSeek 67B, by saving 42.5% in training costs, reducing the KV cache by 93.3%, and enhancing generation throughput by 5.76 times. Pretrained on an 8.1 trillion token corpus, DeepSeek-V2 excels in language understanding, coding, and reasoning tasks, making it a top-tier performer among open-source models.
    Starting Price: Free
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    EvoSuite

    EvoSuite

    EvoSuite

    EvoSuite is an open source tool that automatically generates JUnit test suites for Java classes, utilizing search-based software testing (SBST) techniques to optimize code coverage and detect potential defects. By analyzing Java bytecode, EvoSuite creates executable unit tests with assertions, aiming to achieve high structural coverage such as branch, line, and mutation coverage. It employs a hybrid approach that combines evolutionary algorithms with mutation testing to produce effective and minimal test suites. EvoSuite supports various Java versions and integrates with build systems and IDEs, including Maven, Eclipse, IntelliJ IDEA, and command-line interfaces. It also offers regression testing capabilities through EvoSuiteR, which generates test suites to identify differences between two versions of a Java class. EvoSuite has been benchmarked on numerous open source projects and has been utilized in both academic research and industrial applications to enhance software testing.
    Starting Price: Free
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    Cursor

    Cursor

    Cursor

    Cursor is an advanced AI-powered IDE designed to make developers exponentially more productive. Built with deep codebase understanding and intelligent automation, it combines natural language interaction with precise, context-aware editing tools. Its Agent feature acts as a human-AI coding partner capable of planning and executing entire development workflows, while the Tab model delivers remarkably accurate autocompletion and targeted suggestions. Cursor seamlessly integrates across environments—from GitHub and Slack to the command line—ensuring AI assistance is available wherever you code. Supporting leading models like GPT-5, Claude Sonnet, Gemini Pro, and Grok Code, it gives developers full control over autonomy and model selection. Fast, intuitive, and built for serious builders, Cursor is redefining what an IDE can be.
    Starting Price: $20 per month
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    AppMySite

    AppMySite

    AppMySite

    AppMySite's mobile app builder enables you to create high-quality, customizable apps without writing a single line of code. Build native apps for both Android and iOS platforms and publish on Google Play and Apple App Store. Making your own app with AppMySite is effortless. Here are some of the many features: - Deep WordPress and WooCommerce-based websites. - Support for all CMS platforms and web technologies - Build an app without a website - Complete no-code platform. Users can build an app without writing a single line of code. - Design, build and test your app on your device for free. - Real-time sync
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    Brokk

    Brokk

    Brokk

    Brokk is an AI-native code assistant built to handle large, complex codebases by giving language models compiler-grade understanding of code structure, semantics, and dependencies. It enables context management by selectively loading summaries, diffs, or full files into a workspace so that the AI sees just the relevant portions of a million-line codebase rather than everything. Brokk supports actions such as Quick Context, which suggests files to include based on embeddings and structural relevance; Deep Scan, which uses more powerful models to recommend which files to edit or summarize further; and Agentic Search, allowing multi-step exploration of symbols, call graphs, or usages across the project. The architecture is grounded in static analysis via Joern (offering type inference beyond simple ASTs) and uses JLama for fast embedding inference to guide context changes. Brokk is offered as a standalone Java application (not an IDE plugin) to let users supervise AI workflows clearly.
    Starting Price: $20 per month
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    Grok 3 DeepSearch
    Grok 3 DeepSearch is an advanced model and research agent designed to improve reasoning and problem-solving abilities in AI, with a strong focus on deep search and iterative reasoning. Unlike traditional models that rely solely on pre-trained knowledge, Grok 3 DeepSearch can explore multiple avenues, test hypotheses, and correct errors in real-time by analyzing vast amounts of information and engaging in chain-of-thought processes. It is designed for tasks that require critical thinking, such as complex mathematical problems, coding challenges, and intricate academic inquiries. Grok 3 DeepSearch is a cutting-edge AI tool capable of providing accurate and thorough solutions by using its unique deep search capabilities, making it ideal for both STEM and creative fields.
    Starting Price: $30/month
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    Altia DeepScreen
    Converts GUI models and prototypes into deployable graphics code – fast. Once upon a time, the screens that you see were written by hand by embedded engineers. Now, interfaces are drawn up and have interaction defined in graphical editors. Those beautiful displays consist of images, fonts and other custom components. Altia’s code generator takes those elements and processes them into the most efficient code – ready to deploy on production devices. Simply select the design objects that represent the display portion of your product and click the “Generate Code” menu. Altia DeepScreen will automatically generate your code in just seconds. With DeepScreen, you get the benefits of decades of programming experience. Your team can reserve your precious programming time for more important things, like building your application code and getting it to run on your hardware.
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    DeepSeek R2

    DeepSeek R2

    DeepSeek

    DeepSeek R2 is the anticipated successor to DeepSeek R1, a groundbreaking AI reasoning model launched in January 2025 by the Chinese AI startup DeepSeek. Building on R1’s success, which disrupted the AI industry with its cost-effective performance rivaling top-tier models like OpenAI’s o1, R2 promises a quantum leap in capabilities. It is expected to deliver exceptional speed and human-like reasoning, excelling in complex tasks such as advanced coding and high-level mathematical problem-solving. Leveraging DeepSeek’s innovative Mixture-of-Experts architecture and efficient training methods, R2 aims to outperform its predecessor while maintaining a low computational footprint, potentially expanding its reasoning abilities to languages beyond English.
    Starting Price: Free
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    Exafunction

    Exafunction

    Exafunction

    Exafunction optimizes your deep learning inference workload, delivering up to a 10x improvement in resource utilization and cost. Focus on building your deep learning application, not on managing clusters and fine-tuning performance. In most deep learning applications, CPU, I/O, and network bottlenecks lead to poor utilization of GPU hardware. Exafunction moves any GPU code to highly utilized remote resources, even spot instances. Your core logic remains an inexpensive CPU instance. Exafunction is battle-tested on applications like large-scale autonomous vehicle simulation. These workloads have complex custom models, require numerical reproducibility, and use thousands of GPUs concurrently. Exafunction supports models from major deep learning frameworks and inference runtimes. Models and dependencies like custom operators are versioned so you can always be confident you’re getting the right results.
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    URLgenius

    URLgenius

    URLgenius

    URLgenius is a cloud-based mobile deep-linking and QR code platform that lets marketers generate smart links that open a specific screen inside a mobile app instead of simply redirecting users to a website. With a few clicks, no SDKs or coding required, you paste a standard web URL into URLgenius’s dashboard and it outputs a “deep link” that detects whether the user has the target app installed; if yes, it opens the corresponding app screen, and if not, it sends the user to a fallback URL (mobile site or app store). It supports a wide range of popular apps, social, retail, marketplaces, utilities, and works even from embedded browsers (e.g., inside social-media apps), overcoming limitations of normal links. Beyond deep linking, it can generate QR codes tied to those smart links, enabling seamless transitions from offline marketing (print, packaging, signage) or cross-device campaigns directly into apps.
    Starting Price: $ 0.02 per click
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    DeepSeek R1

    DeepSeek R1

    DeepSeek

    DeepSeek-R1 is an advanced open-source reasoning model developed by DeepSeek, designed to rival OpenAI's Model o1. Accessible via web, app, and API, it excels in complex tasks such as mathematics and coding, demonstrating superior performance on benchmarks like the American Invitational Mathematics Examination (AIME) and MATH. DeepSeek-R1 employs a mixture of experts (MoE) architecture with 671 billion total parameters, activating 37 billion parameters per token, enabling efficient and accurate reasoning capabilities. This model is part of DeepSeek's commitment to advancing artificial general intelligence (AGI) through open-source innovation.
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    DeepTagger

    DeepTagger

    DeepTagger

    DeepTagger is a no-code, AI-powered document processing platform that turns any documents (PDFs, images, Word, etc.) into structured, usable data through an intuitive “highlight-and-label” interface. You upload your files; highlight the pieces of data you care about; train the model via examples rather than templates; then run predictions, export results, and refine accuracy. It handles complex/nested structures (e.g., line items within invoices, tables within tables), supports scanned documents and low-quality images via strong OCR, and offers features like splitting multi-document PDFs, intent/context understanding, and position-aware extraction (so if the same phrase appears many times, DeepTagger can distinguish which instance to pull). Pricing is usage-based with a free tier processing up to 200 documents; higher tiers unlock features like batch prediction, nested schemas, priority support, multi-tenant architecture, and enterprise-grade compliance.
    Starting Price: Free
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    DeepSeek Coder
    DeepSeek Coder is a cutting-edge software tool designed to revolutionize the landscape of data analysis and coding. By leveraging advanced machine learning algorithms and natural language processing capabilities, it empowers users to seamlessly integrate data querying, analysis, and visualization into their workflow. The intuitive interface of DeepSeek Coder enables both novice and experienced programmers to efficiently write, test, and optimize code. Its robust set of features includes real-time syntax checking, intelligent code completion, and comprehensive debugging tools, all designed to streamline the coding process. Additionally, DeepSeek Coder's ability to understand and interpret complex data sets ensures that users can derive meaningful insights and create sophisticated data-driven applications with ease.
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    SynapseAI

    SynapseAI

    Habana Labs

    Like our accelerator hardware, was purpose-designed to optimize deep learning performance, efficiency, and most importantly for developers, ease of use. With support for popular frameworks and models, the goal of SynapseAI is to facilitate ease and speed for developers, using the code and tools they use regularly and prefer. In essence, SynapseAI and its many tools and support are designed to meet deep learning developers where you are — enabling you to develop what and how you want. Habana-based deep learning processors, preserve software investments, and make it easy to build new models— for both training and deployment of the numerous and growing models defining deep learning, generative AI and large language models.
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    GitX

    GitX

    GitX

    GitX is a git GUI made for Mac OS X. It currently features a history viewer much like gitk and a commit GUI like git gui. But then in silky smooth OS X style! GitX runs on Mac OS X 10.5 Leopard and Mac OS X 10.6 Snow Leopard. Because it uses features like Garbage Collection, you can't compile it on earlier systems. GitX also requires a fairly recent Git, version 1.6.0 and higher are all supported. After starting GitX, you can install the command-line tool through the menu (GitX->Enable Terminal Usage). This will install a “gitx” binary in /usr/local/bin. Detailed history viewer, nice commit GUI, allowing hunk- and line-wise staging. Fast workflow, explore tree of any revision, nice Aqua interface, paste commits to gist.github.com, QuickLook integration. GitX aims to be a graphical wrapper around the most-frequently used git-commands, enabling you to satisfy your daily git needs in one consistent program.
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    gitg

    gitg

    GNOME

    gitg is a graphical user interface for git. It aims at being a small, fast and convenient tool to visualize the history of git repositories. Besides visualization, gitg also provides several utilities to manage your repository and commit your work. When gitg is installed, you can run gitg from the GNOME menu, or from a terminal by issueing: 'gitg'. Type 'gitg --help' to show the options you can specify on the command line.
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    DeepSeek-V3.2-Exp
    Introducing DeepSeek-V3.2-Exp, our latest experimental model built on V3.1-Terminus, debuting DeepSeek Sparse Attention (DSA) for faster and more efficient inference and training on long contexts. DSA enables fine-grained sparse attention with minimal loss in output quality, boosting performance for long-context tasks while reducing compute costs. Benchmarks indicate that V3.2-Exp performs on par with V3.1-Terminus despite these efficiency gains. The model is now live across app, web, and API. Alongside this, the DeepSeek API prices have been cut by over 50% immediately to make access more affordable. For a transitional period, users can still access V3.1-Terminus via a temporary API endpoint until October 15, 2025. DeepSeek welcomes feedback on DSA via its feedback portal. In conjunction with the release, DeepSeek-V3.2-Exp has been open-sourced: the model weights and supporting technology (including key GPU kernels in TileLang and CUDA) are available on Hugging Face.
    Starting Price: Free
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    Sprout.ai

    Sprout.ai

    Sprout.ai

    Our AI-powered technology helps you deliver fast and accurate claims decisions, enabling you to better serve your customers. However, by adapting certain features and data sources, we have developed a solution that’s configurable for every insurance line, from health and life insurance to motor and property. Sprout.ai provides fast and accurate claims decisions whatever the sector. From handwritten doctor’s notes, to call transcripts and prescriptions, our technology extracts all the relevant information from any type of claim document. The claim is validated with external data points such as treatment codes, provider network policies, or medication information, and then checked against policy documents. Deep learning AI algorithms predict the best next step for a claim and pair it with a clear justification.