Alternatives to RightNow AI
Compare RightNow AI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to RightNow AI in 2026. Compare features, ratings, user reviews, pricing, and more from RightNow AI competitors and alternatives in order to make an informed decision for your business.
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1
UserWay
UserWay Inc.
UserWay is a leader in digital accessibility compliance, committed to empowering the fundamental human right for inclusive digital experiences and usability. Trusted by over 1 million websites across the globe, UserWay’s AI-powered technologies break down barriers hindering digital inclusion, ensuring that every digital interaction is seamless and user-friendly. UserWay’s team of web accessibility experts combine a deep legal and technical prowess, ensuring compliance with multiple global laws and standards, including WCAG 2.2, ADA, EN 301-549, and Section 508. In addition to the cutting-edge Accessibility Widget, UserWay's suite of offerings include the Accessibility Scanner that automates violation detection and remediation, and manual Accessibility Audits. Their Accessibility Plugin provides native integration for seamless accessibility enhancement. Discover why millions of users rely on UserWay’s accessibility solutions for inclusion and compliance.Starting Price: $49 per month -
2
Cody
Sourcegraph
Cody, Sourcegraph’s AI code assistant goes beyond individual dev productivity, helping enterprises achieve consistency and quality at scale with AI. Unlike traditional coding assistants, Cody understands the entire codebase, enabling deeper contextual awareness for smarter autocompletions, refactoring, and AI-driven code suggestions. It integrates with IDEs like VS Code, Visual Studio, Eclipse, and JetBrains, providing inline editing and chat without disrupting workflows. Cody also connects with tools like Notion, Linear, and Prometheus to enhance development context. Powered by advanced LLMs like Claude Sonnet 4 and GPT-4o, it optimizes speed and performance based on enterprise needs, and is always adding the latest AI models. Developers report significant efficiency gains, with some saving up to six hours per week and doubling their coding speed.Starting Price: $59 -
3
NVIDIA TensorRT
NVIDIA
NVIDIA TensorRT is an ecosystem of APIs for high-performance deep learning inference, encompassing an inference runtime and model optimizations that deliver low latency and high throughput for production applications. Built on the CUDA parallel programming model, TensorRT optimizes neural network models trained on all major frameworks, calibrating them for lower precision with high accuracy, and deploying them across hyperscale data centers, workstations, laptops, and edge devices. It employs techniques such as quantization, layer and tensor fusion, and kernel tuning on all types of NVIDIA GPUs, from edge devices to PCs to data centers. The ecosystem includes TensorRT-LLM, an open source library that accelerates and optimizes inference performance of recent large language models on the NVIDIA AI platform, enabling developers to experiment with new LLMs for high performance and quick customization through a simplified Python API.Starting Price: Free -
4
NVIDIA Confidential Computing secures data in use, protecting AI models and workloads as they execute, by leveraging hardware-based trusted execution environments built into NVIDIA Hopper and Blackwell architectures and supported platforms. It enables enterprises to deploy AI training and inference, whether on-premises, in the cloud, or at the edge, with no changes to model code, while ensuring the confidentiality and integrity of both data and models. Key features include zero-trust isolation of workloads from the host OS or hypervisor, device attestation to verify that only legitimate NVIDIA hardware is running the code, and full compatibility with shared or remote infrastructure for ISVs, enterprises, and multi-tenant environments. By safeguarding proprietary AI models, inputs, weights, and inference activities, NVIDIA Confidential Computing enables high-performance AI without compromising security or performance.
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5
CUDA
NVIDIA
CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs. In GPU-accelerated applications, the sequential part of the workload runs on the CPU – which is optimized for single-threaded performance – while the compute intensive portion of the application runs on thousands of GPU cores in parallel. When using CUDA, developers program in popular languages such as C, C++, Fortran, Python and MATLAB and express parallelism through extensions in the form of a few basic keywords. The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime.Starting Price: Free -
6
vLLM
vLLM
vLLM is a high-performance library designed to facilitate efficient inference and serving of Large Language Models (LLMs). Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has evolved into a community-driven project with contributions from both academia and industry. It offers state-of-the-art serving throughput by efficiently managing attention key and value memory through its PagedAttention mechanism. It supports continuous batching of incoming requests and utilizes optimized CUDA kernels, including integration with FlashAttention and FlashInfer, to enhance model execution speed. Additionally, vLLM provides quantization support for GPTQ, AWQ, INT4, INT8, and FP8, as well as speculative decoding capabilities. Users benefit from seamless integration with popular Hugging Face models, support for various decoding algorithms such as parallel sampling and beam search, and compatibility with NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs, and more. -
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NVIDIA HPC SDK
NVIDIA
The NVIDIA HPC Software Development Kit (SDK) includes the proven compilers, libraries and software tools essential to maximizing developer productivity and the performance and portability of HPC applications. The NVIDIA HPC SDK C, C++, and Fortran compilers support GPU acceleration of HPC modeling and simulation applications with standard C++ and Fortran, OpenACC® directives, and CUDA®. GPU-accelerated math libraries maximize performance on common HPC algorithms, and optimized communications libraries enable standards-based multi-GPU and scalable systems programming. Performance profiling and debugging tools simplify porting and optimization of HPC applications, and containerization tools enable easy deployment on-premises or in the cloud. With support for NVIDIA GPUs and Arm, OpenPOWER, or x86-64 CPUs running Linux, the HPC SDK provides the tools you need to build NVIDIA GPU-accelerated HPC applications. -
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Verda
Verda
Verda is a frontier AI cloud platform delivering premium GPU servers, clusters, and model inference services powered by NVIDIA®. Built for speed, scalability, and simplicity, Verda enables teams to deploy AI workloads in minutes with pay-as-you-go pricing. The platform offers on-demand GPU instances, custom-managed clusters, and serverless inference with zero setup. Verda provides instant access to high-performance NVIDIA Blackwell GPUs, including B200 and GB300 configurations. All infrastructure runs on 100% renewable energy, supporting sustainable AI development. Developers can start, stop, or scale resources instantly through an intuitive dashboard or API. Verda combines dedicated hardware, expert support, and enterprise-grade security to deliver a seamless AI cloud experience.Starting Price: $3.01 per hour -
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NVIDIA Isaac
NVIDIA
NVIDIA Isaac is an AI robot development platform that comprises NVIDIA CUDA-accelerated libraries, application frameworks, and AI models to expedite the creation of AI robots, including autonomous mobile robots, robotic arms, and humanoids. The platform features NVIDIA Isaac ROS, a collection of CUDA-accelerated computing packages and AI models built on the open source ROS 2 framework, designed to streamline the development of advanced AI robotics applications. Isaac Manipulator, built on Isaac ROS, enables the development of AI-powered robotic arms that can seamlessly perceive, understand, and interact with their environments. Isaac Perceptor facilitates the rapid development of advanced AMRs capable of operating in unstructured environments like warehouses or factories. For humanoid robotics, NVIDIA Isaac GR00T serves as a research initiative and development platform for general-purpose robot foundation models and data pipelines. -
10
Mercury Coder
Inception Labs
Mercury, the latest innovation from Inception Labs, is the first commercial-scale diffusion large language model (dLLM), offering a 10x speed increase and significantly lower costs compared to traditional autoregressive models. Built for high-performance reasoning, coding, and structured text generation, Mercury processes over 1000 tokens per second on NVIDIA H100 GPUs, making it one of the fastest LLMs available. Unlike conventional models that generate text one token at a time, Mercury refines responses using a coarse-to-fine diffusion approach, improving accuracy and reducing hallucinations. With Mercury Coder, a specialized coding model, developers can experience cutting-edge AI-driven code generation with superior speed and efficiency.Starting Price: Free -
11
NVIDIA DRIVE
NVIDIA
Software is what turns a vehicle into an intelligent machine. The NVIDIA DRIVE™ Software stack is open, empowering developers to efficiently build and deploy a variety of state-of-the-art AV applications, including perception, localization and mapping, planning and control, driver monitoring, and natural language processing. The foundation of the DRIVE Software stack, DRIVE OS is the first safe operating system for accelerated computing. It includes NvMedia for sensor input processing, NVIDIA CUDA® libraries for efficient parallel computing implementations, NVIDIA TensorRT™ for real-time AI inference, and other developer tools and modules to access hardware engines. The NVIDIA DriveWorks® SDK provides middleware functions on top of DRIVE OS that are fundamental to autonomous vehicle development. These consist of the sensor abstraction layer (SAL) and sensor plugins, data recorder, vehicle I/O support, and a deep neural network (DNN) framework. -
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FonePaw Video Converter Ultimate
FonePaw
Multifunctional software makes it possible for you to convert, edit and play videos, DVD and audios. In addition, you can also create you own videos or GIF image freely with it. You can convert one video at a time or add several video files for converting simultaneously. It can decode and encode videos on a CUDA-enabled graphics card, leading to your fast and high quality HD and SD video conversion. Your video will not be quality loss. Equipped with NVIDIA's CUDA and AMD APP acceleration technology, you're able to experience 6X faster conversion speed and supports multi-core processor completely. Supported with NVIDIA® CUDA™, AMD®, etc. technologies, FonePaw Video Converter Ultimate can decode and encode videos on a CUDA-enabled graphics card, leading to your fast and high quality HD and SD video conversion. This all-in-one video converter is capable of converting video, audio and DVD files efficiently and even editing them with better effect.Starting Price: $39 one-time payment -
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NVIDIA DGX Cloud Serverless Inference is a high-performance, serverless AI inference solution that accelerates AI innovation with auto-scaling, cost-efficient GPU utilization, multi-cloud flexibility, and seamless scalability. With NVIDIA DGX Cloud Serverless Inference, you can scale down to zero instances during periods of inactivity to optimize resource utilization and reduce costs. There's no extra cost for cold-boot start times, and the system is optimized to minimize them. NVIDIA DGX Cloud Serverless Inference is powered by NVIDIA Cloud Functions (NVCF), which offers robust observability features. It allows you to integrate your preferred monitoring tools, such as Splunk, for comprehensive insights into your AI workloads. NVCF offers flexible deployment options for NIM microservices while allowing you to bring your own containers, models, and Helm charts.
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Provision a VM quickly with everything you need to get your deep learning project started on Google Cloud. Deep Learning VM Image makes it easy and fast to instantiate a VM image containing the most popular AI frameworks on a Google Compute Engine instance without worrying about software compatibility. You can launch Compute Engine instances pre-installed with TensorFlow, PyTorch, scikit-learn, and more. You can also easily add Cloud GPU and Cloud TPU support. Deep Learning VM Image supports the most popular and latest machine learning frameworks, like TensorFlow and PyTorch. To accelerate your model training and deployment, Deep Learning VM Images are optimized with the latest NVIDIA® CUDA-X AI libraries and drivers and the Intel® Math Kernel Library. Get started immediately with all the required frameworks, libraries, and drivers pre-installed and tested for compatibility. Deep Learning VM Image delivers a seamless notebook experience with integrated support for JupyterLab.
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15
NVIDIA Iray
NVIDIA
NVIDIA® Iray® is an intuitive physically based rendering technology that generates photorealistic imagery for interactive and batch rendering workflows. Leveraging AI denoising, CUDA®, NVIDIA OptiX™, and Material Definition Language (MDL), Iray delivers world-class performance and impeccable visuals—in record time—when paired with the newest NVIDIA RTX™-based hardware. The latest version of Iray adds support for RTX, which includes dedicated ray-tracing-acceleration hardware support (RT Cores) and an advanced acceleration structure to enable real-time ray tracing in your graphics applications. In the 2019 release of the Iray SDK, all render modes utilize NVIDIA RTX technology. In combination with AI denoising, this enables you to create photorealistic rendering in seconds instead of minutes. Using Tensor Cores on the newest NVIDIA hardware brings the power of deep learning to both final-frame and interactive photorealistic renderings. -
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RocketWhisper
Mojosoft Co., Ltd.
RocketWhisper is a powerful desktop speech recognition and transcription application that runs 100% offline on your computer. Your voice data never leaves your machine - complete privacy guaranteed. Powered by OpenAI's Whisper engine with NVIDIA GPU (CUDA) acceleration, RocketWhisper delivers fast and accurate speech-to-text conversion for professionals, content creators, and anyone who works with voice and text. Key Features: - 100% offline processing - voice data never leaves your PC - OpenAI Whisper engine for high-accuracy speech recognition - NVIDIA CUDA GPU acceleration - up to 10x faster than CPU - Real-time voice-to-text input with global hotkey (Push-to-Talk with Right Alt) - Batch transcription of multiple audio/video files (MP3, WAV, M4A, MP4, MKV, AVI, etc.) - SRT/VTT subtitle export for video content - AI text formatting with LLM integration (OpenAI, Anthropic, Google Gemini, Grok, local LLM)Starting Price: $32 one-time -
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NVIDIA RAPIDS
NVIDIA
The RAPIDS suite of software libraries, built on CUDA-X AI, gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposes that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar DataFrame API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes. Accelerate your Python data science toolchain with minimal code changes and no new tools to learn. Increase machine learning model accuracy by iterating on models faster and deploying them more frequently. -
18
Unicorn Render
Unicorn Render
Unicorn Render is a professional rendering software that enables users to produce stunning realistic pictures and achieve high-end rendering levels without any prior skills. It offers a user-friendly interface designed to provide everything needed to obtain amazing results with minimal controls. Available as a standalone application or as a plugin, Unicorn Render integrates advanced AI technology and professional visualization tools. The software supports GPU+CPU acceleration through deep learning photorealistic rendering technology and NVIDIA CUDA technology, allowing joint support for CUDA GPUs and multicore CPUs. It features real-time progressive physics illumination, a Metropolis Light Transport sampler (MLT), a caustic sampler, and native NVIDIA MDL material support. Unicorn Render's WYSIWYG editing mode ensures that 100% of editing can be done in final image quality, eliminating surprises in the production of the final image. -
19
Skyportal
Skyportal
Skyportal is a GPU cloud platform built for AI engineers, offering 50% less cloud costs and 100% GPU performance. It provides a cost-effective GPU infrastructure for machine learning workloads, eliminating unpredictable cloud bills and hidden fees. Skyportal has seamlessly integrated Kubernetes, Slurm, PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA Drivers, fully optimized for Ubuntu 22.04 LTS and 24.04 LTS, allowing users to focus on innovating and scaling with ease. It offers high-performance NVIDIA H100 and H200 GPUs optimized specifically for ML/AI workloads, with instant scalability and 24/7 expert support from a team that understands ML workflows and optimization. Skyportal's transparent pricing and zero egress fees provide predictable costs for AI infrastructure. Users can share their AI/ML project requirements and goals, deploy models within the infrastructure using familiar tools and frameworks, and scale their infrastructure as needed.Starting Price: $2.40 per hour -
20
NVIDIA Brev
NVIDIA
NVIDIA Brev is a cloud-based platform that provides instant access to fully configured GPU environments optimized for AI and machine learning development. Its Launchables feature offers prebuilt, customizable compute setups that let developers start projects quickly without complex setup or configuration. Users can create Launchables by specifying GPU resources, Docker images, and project files, then share them easily with collaborators. The platform also offers prebuilt Launchables featuring the latest AI frameworks, microservices, and NVIDIA Blueprints to jumpstart development. NVIDIA Brev provides a seamless GPU sandbox with support for CUDA, Python, and Jupyter Lab accessible via browser or CLI. This enables developers to fine-tune, train, and deploy AI models with minimal friction and maximum flexibility.Starting Price: $0.04 per hour -
21
FauxPilot
FauxPilot
FauxPilot is an open source, self-hosted alternative to GitHub Copilot. It utilizes the SalesForce CodeGen models on NVIDIA's Triton Inference Server with the FasterTransformer backend for local code generation. It requires Docker, an NVIDIA GPU with sufficient VRAM, and the ability to split the model across multiple GPUs if needed. The setup involves downloading models from Hugging Face and converting them for FasterTransformer compatibility.Starting Price: Free -
22
NVIDIA AI Data Platform
NVIDIA
NVIDIA's AI Data Platform is a comprehensive solution designed to accelerate enterprise storage and optimize AI workloads, facilitating the development of agentic AI applications. It integrates NVIDIA Blackwell GPUs, BlueField-3 DPUs, Spectrum-X networking, and NVIDIA AI Enterprise software to enhance performance and accuracy in AI workflows. NVIDIA AI Data Platform optimizes workload distribution across GPUs and nodes, leveraging intelligent routing, load balancing, and advanced caching to enable scalable, complex AI processes. This infrastructure supports the deployment and scaling of AI agents across hybrid data centers, transforming raw data into actionable insights in real-time. With the platform, enterprises can process and extract insights from structured or unstructured data, unlocking valuable insights from all available data sources, text, PDF, images, and video. -
23
Decompute Blackbird
Decompute
Decompute Blackbird is a platform that challenges the traditional centralized approach to artificial intelligence by decentralizing AI compute power. The platform enables teams to train task-specific AI models on their own data, directly where the data resides, rather than relying on centralized cloud services. This approach allows businesses to optimize their AI capabilities by giving different teams the ability to develop and train models more efficiently and securely. Decompute aims to scale enterprise AI by focusing on decentralized AI infrastructure, helping organizations better leverage their data without compromising privacy or performance. -
24
Linaro Forge
Linaro
Linaro Forge is an integrated HPC debugging and performance analysis suite that helps developers build reliable, optimized code for servers and high-performance computing environments by combining three core tools, Linaro DDT, a market-leading debugger for C, C++, Fortran, and Python applications; Linaro MAP, a performance profiler that highlights bottlenecks and suggests optimization strategies; and Linaro Performance Reports, which generate concise, one-page summaries of application performance. It supports a wide range of parallel architectures and programming models, including MPI, OpenMP, CUDA, and GPU-accelerated environments on x86-64, 64-bit Arm, and other CPUs and GPUs, and offers a common user interface that makes it easy to switch between debugging and profiling during development. -
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DeepSeek-V3.2-Exp
DeepSeek
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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NVIDIA Magnum IO
NVIDIA
NVIDIA Magnum IO is the architecture for parallel, intelligent data center I/O. It maximizes storage, network, and multi-node, multi-GPU communications for the world’s most important applications, using large language models, recommender systems, imaging, simulation, and scientific research. Magnum IO utilizes storage I/O, network I/O, in-network compute, and I/O management to simplify and speed up data movement, access, and management for multi-GPU, multi-node systems. It supports NVIDIA CUDA-X libraries and makes the best use of a range of NVIDIA GPU and networking hardware topologies to achieve optimal throughput and low latency. In multi-GPU, multi-node systems, slow CPU, single-thread performance is in the critical path of data access from local or remote storage devices. With storage I/O acceleration, the GPU bypasses the CPU and system memory, and accesses remote storage via 8x 200 Gb/s NICs, achieving up to 1.6 TB/s of raw storage bandwidth. -
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ccminer
ccminer
ccminer is an open-source project for CUDA compatible GPUs (nVidia). The project is compatible with both Linux and Windows platforms. This site is intended to share cryptocurrencies mining tools you can trust. Available open-source binaries will be compiled and signed by us. Most of these projects are open-source but could require technical abilities to be compiled correctly. -
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Codebuddy
Codebuddy AI
Chat about your codebase and let your AI code assistant update the multiple files right in your favorite IDE! Automatically include all files that you have open in your editor in your next prompt with up to 128,000 tokens in AI context memory size. Let the AI code. You approve the multi-file patch, a part of it, or request any necessary changes. Codebuddy can scan your entire repository and generate a vector database from it. This allows Codebuddy to select files for you, or answer questions about your codebase if you're not familiar with it. This is an AI coding assistant that deeply understands your repository. Generate new files or change multiple existing files with a single prompt. Codebuddy will insert code automatically for you in the form of a familiar unified patch (diff). Take your AI coding to the next level with industry-leading multi-file support.Starting Price: $10/month -
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Code Metal
Code Metal
CodeMetal is an AI-enabled code translation and deployment platform designed to help engineering teams automatically convert high-level reference code into optimized, hardware-specific implementations for edge and embedded environments. It allows developers to write algorithms in familiar languages such as Python, MATLAB, or Julia and then automatically generates low-level code tailored to the target runtime, including embedded C/C++, Rust, CUDA, or FPGA languages. Its agentic workflow analyzes module dependencies, maps equivalents across architectures, and produces a transpilation and deployment plan that developers can review or execute directly. CodeMetal emphasizes verifiable AI by combining generative techniques with formal methods to ensure translated code is tested, compliant, and production-ready, addressing the reliability concerns common in safety-critical industries. -
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16x Prompt
16x Prompt
Manage source code context and generate optimized prompts. Ship with ChatGPT and Claude. 16x Prompt helps developers manage source code context and prompts to complete complex coding tasks on existing codebases. Enter your own API key to use APIs from OpenAI, Anthropic, Azure OpenAI, OpenRouter, or 3rd party services that offer OpenAI API compatibility, such as Ollama and OxyAPI. Using API avoids leaking your code to OpenAI or Anthropic training data. Compare the code output of different LLM models (for example, GPT-4o & Claude 3.5 Sonnet) side-by-side to see which one is the best for your use case. Craft and save your best prompts as task instructions or custom instructions to use across different tech stacks like Next.js, Python, and SQL. Fine-tune your prompt with various optimization settings to get the best results. Organize your source code context using workspaces to manage multiple repositories and projects in one place and switch between them easily.Starting Price: $24 one-time payment -
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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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ChatGPT Plus
OpenAI
We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response. ChatGPT Plus is a subscription plan for ChatGPT a conversational AI. ChatGPT Plus costs $20/month, and subscribers will receive a number of benefits: - General access to ChatGPT, even during peak times - Faster response times - GPT-4 access - ChatGPT plugins - Web-browsing with ChatGPT - Priority access to new features and improvements ChatGPT Plus is available to customers in the United States, and we will begin the process of inviting people from our waitlist over the coming weeks. We plan to expand access and support to additional countries and regions soon.Starting Price: $20 per month -
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BotCity
BotCity
With the proliferation of user-created Python scripts and AIs outside of IT governance, companies face increasing risks of Shadow IT, such as security breaches, compliance issues, and loss of operational control. BotCity solves this scenario with a centralized governance platform, enterprise orchestration, and real-time visibility into all Python automations, including AI-driven ones. In addition, it enables you to accelerate hyperautomation initiatives with RPA and AI, reduce costs (up to 5x lower than low-code platforms), and run bots flexibly on VMs, containers, and serverless environments, with support for systems such as SAP, Citrix, Windows, and Linux. Free 30-day trial available.Starting Price: 30-day trial -
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Darknet
Darknet
Darknet is an open-source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do. Darknet is easy to install with only two optional dependencies, OpenCV if you want a wider variety of supported image types, and CUDA if you want GPU computation. Darknet on the CPU is fast but it's like 500 times faster on GPU! You'll have to have an Nvidia GPU and you'll have to install CUDA. By default, Darknet uses stb_image.h for image loading. If you want more support for weird formats (like CMYK jpegs, thanks Obama) you can use OpenCV instead! OpenCV also allows you to view images and detections without having to save them to disk. Classify images with popular models like ResNet and ResNeXt. Recurrent neural networks are all the rage for time-series data and NLP. -
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StarCoder
BigCode
StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming languages, Git commits, GitHub issues, and Jupyter notebooks. Similar to LLaMA, we trained a ~15B parameter model for 1 trillion tokens. We fine-tuned StarCoderBase model for 35B Python tokens, resulting in a new model that we call StarCoder. We found that StarCoderBase outperforms existing open Code LLMs on popular programming benchmarks and matches or surpasses closed models such as code-cushman-001 from OpenAI (the original Codex model that powered early versions of GitHub Copilot). With a context length of over 8,000 tokens, the StarCoder models can process more input than any other open LLM, enabling a wide range of interesting applications. For example, by prompting the StarCoder models with a series of dialogues, we enabled them to act as a technical assistant.Starting Price: Free -
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Decart Mirage
Decart Mirage
Mirage is the world’s first real‑time, autoregressive video‑to‑video transformation model that instantly turns any live video, game, or camera feed into a new digital world without pre‑rendering. Powered by Live‑Stream Diffusion (LSD) technology, it processes inputs at 24 FPS with under 40 ms latency, ensuring smooth, continuous transformations while preserving motion and structure. Mirage supports universal input, webcams, gameplay, movies, and live streams, and applies text‑prompted style changes on the fly. Its advanced history‑augmentation mechanism maintains temporal coherence across frames, avoiding the glitches common in diffusion‑only approaches. GPU‑accelerated custom CUDA kernels deliver up to 16× faster performance than traditional methods, enabling infinite streaming without interruption. It offers real‑time mobile and desktop previews, seamless integration with any video source, and flexible deployment.Starting Price: Free -
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TRAE
ByteDance
TRAE is an advanced AI-powered development environment that acts as a 10x engineering assistant for developers. It can autonomously understand project requirements, write code, debug issues, and deliver complete software solutions. TRAE integrates seamlessly into your workflow with intelligent features like real-time collaboration, contextual understanding, and predictive coding assistance. Its SOLO mode enables developers to build, test, and deploy entire applications with minimal input. Using Model Context Protocol (MCP), TRAE dynamically connects to tools, APIs, and external data to optimize performance and accuracy. Designed for speed, precision, and security, TRAE empowers developers to ship production-ready software faster than ever before.Starting Price: Free -
38
Kodezi
Kodezi
Let Kodezi auto-summarize your code in seconds. Kodezi is Grammarly for programmers. Generate, ask, search, and code anything in your codebase with KodeziChat. Your personal AI coding assistant! Kodezi doesn't just fix your code for you, it tells you why it’s wrong and how to prevent future bugs. Reduce unnecessary lines of code and syntax to ensure clean end results. Optimize your code for optimum efficiency. Debug code with detailed explanations. Swap from one framework or language to another in an instant, without losing context. When writing code, commenting and explanations are crucial for future maintenance. Generate code from text, input a project question or create an entire function all in seconds! Generate your code documentation. Translate code to another language. Optimize your code for optimum efficiency. Use our extension within your own IDE, never have to rely on opening up new tabs ever again. -
39
Refact.ai
Refact AI
Refact.ai is a cutting-edge, open-source AI coding assistant designed to enhance developer productivity through intelligent code completion, real-time code reviews, and personalized support. By integrating with popular IDEs like VS Code, JetBrains, and PyCharm, Refact.ai provides a seamless development experience, offering personalized auto-completion, code refactoring, and AI-driven suggestions based on your unique codebase. With the ability to fine-tune models using company-specific data, Refact.ai optimizes its performance for better accuracy and faster code generation. Whether you're building new features or improving existing code, Refact.ai ensures your development process is more efficient, secure, and aligned with best practices.Starting Price: $0 -
40
SpellBox
SpellBox
With SpellBox, you can say goodbye to hours of frustrating coding and hello to quick, easy solutions. SpellBox creates the code you need from simple prompts, so you can solve your toughest programming problems in seconds. No more time wasted on syntax errors, debugging, or scouring the internet for answers. With SpellBox, you'll have the code you need right at your fingertips, allowing you to focus on what really matters, delivering top-quality results. With the code explanation feature, you can save time by quickly gaining a deep understanding of the code you are working with, without having to spend hours researching or studying documentation. It's the perfect tool for anyone looking to improve their coding proficiency and maximize their productivity. With code bookmarking, you can save your code snippets, and quickly find what you retrieve them later. This feature is especially useful for developers who work on multiple projects and need to access their code snippets frequently.Starting Price: $40 per month -
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Elastic Copilot
Elastic Copilot
Elastic Copilot is a VS Code extension that functions as a context‑aware AI pair programmer, harnessing the full context windows of industry‑leading models with no caps to produce production‑ready code. Embedded directly in the editor, it offers integrated terminal access for executing commands, installing packages, running tests, and performing system operations without leaving your workspace. Its file system integration lets you create, modify, and organize files and directories with a deep understanding of your project’s structure, while an in‑editor browser enables real‑time testing of web applications and immediate feedback on UI changes. Every action is captured in a development history, allowing you to review your workflow, revert to any point in time, and audit project evolution. Elastic Copilot excels at generating complex functions, fixing bugs, and refactoring existing code, turning natural prompts into clean implementations.Starting Price: $15 per month -
42
Amazon Q Developer
Amazon
Amazon Q Developer is a generative AI–powered coding assistant from AWS that helps developers accelerate the entire software development lifecycle. It integrates directly into popular IDEs like JetBrains, VS Code, Visual Studio, and Eclipse, providing real-time code suggestions, refactoring, documentation, and debugging assistance. Beyond coding, Amazon Q Developer supports agentic capabilities—autonomously performing tasks like feature implementation, testing, and modernization of applications. As an AWS-native expert, it helps optimize cloud resources, diagnose issues, and guide users through architectural best practices. The platform also enables seamless data and AI integration, allowing developers to build analytics and ML applications using natural language. With up to 80% faster development speed and 40% productivity gains, Amazon Q Developer delivers enterprise-grade intelligence directly inside the tools developers use every day.Starting Price: $19/month -
43
Anycode AI
Anycode AI
The only auto-pilot agent that works with your unique software development workflow. Anycode AI converts your whole Legacy codebase to modern tech stacks up to 8X faster. Boost your coding speed tenfold with Anycode AI. Utilize AI for rapid, compliant coding and testing. Modernize swiftly with Anycode AI. Effortlessly handle legacy code and embrace updates for efficient applications. Upgrade seamlessly from outdated systems. Our platform refines old logic for a smooth transition to advanced tech. -
44
Codey
Google
Codey accelerates software development with real-time code completion and generation, customizable to a customer’s own codebase. This code generation model supports 20+ coding languages, including Go, Google Standard SQL, Java, Javascript, Python, and Typescript. It enables a wide variety of coding tasks, helping developers to work faster and close skills gaps through: Code completion: Codey suggests the next few lines based on the context of code entered into the prompt. Code generation: Codey generates code based on natural language prompts from a developer. Code chat: Codey lets developers converse with a bot to get help with debugging, documentation, learning new concepts, and other code-related questions. -
45
Studio Bot
Google
Studio Bot is your coding companion for Android development. It's a conversational experience in Android Studio that helps you be more productive by answering Android development queries. It's powered by artificial intelligence and can understand natural language, so you can ask development questions in plain English. Studio Bot can help Android developers generate code, find relevant resources, learn best practices, and save time. Studio Bot is still an early experiment, and might sometimes provide inaccurate, misleading or false information while presenting it confidently. Studio Bot might give you working code that doesn't produce the expected output, or provide you with code that is not optimal or incomplete. Always double-check Studio Bot's responses and carefully test and review code for errors, bugs, and vulnerabilities before relying on it. Studio Bot's new capabilities can help you by offering new ways to write code, create test cases, or update APIs. -
46
Kodu AI
Kodu AI
Kodu is an AI-powered development platform that allows users to ideate, prototype, and build software products without needing deep coding expertise. It features Claude Code, a VSCode extension powered by Claude 3.7 Sonnet, which brings agentic coding capabilities directly into your editor: the tool can generate code, inspect diffs of changes it makes, interpret pasted images or mockups into functional UI, and run CLI commands without leaving the chat interface. Kodu also offers Kodu Engineer, a voice-driven assistant that lets you describe your project in natural language and watch it build your app live with screen sharing and instant deployment. Behind the scenes, Kodu utilizes its own “Kodu Cloud” inference API with a “rateless” model connection, allowing users to prototype and extend apps rapidly. All of this is delivered through a workflow that connects idea, design, and production, from mockup to live app, with minimal friction or handoff overhead.Starting Price: Free -
47
Gemini CLI
Google
Gemini CLI is a free, open-source AI agent that integrates Gemini’s powerful AI capabilities directly into developers’ command line terminals. It offers fast, lightweight access to Gemini 3 Pro, enabling developers to generate code, solve problems, and manage tasks using natural language prompts. The CLI supports up to 60 model requests per minute and 1,000 requests per day at no cost, with additional paid options for professionals requiring higher usage. Gemini CLI includes advanced features like Google Search grounding for real-time web context, prompt customization, and automation within scripts. It is fully extensible and open source, welcoming community contributions via GitHub. Designed to enhance workflow efficiency, Gemini CLI brings AI-powered coding assistance to the terminal environment.Starting Price: Free -
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Cosine Genie
Cosine
Whether it’s high-level or nuanced, Cosine can understand and provide superhuman level answers. We're not just an LLM wrapper – we combine multiple heuristics including static analysis, semantic search and others. Simply ask Cosine how to add a new feature or modify existing code and we’ll generate a step by step guide. Cosine indexes and understands your codebase on multiple levels. From a graph relationship between files and functions to a deep semantic understanding of the code, Cosine can answer any question you have about your codebase. Genie is the best AI software engineer in the world by far - achieving a 30% eval score on the industry standard benchmark SWE-Bench. Genie is able to solve bugs, build features, refactor code, and everything in between either fully autonomously or paired with the user, like working with a colleague, not just a copilot.Starting Price: $20/month -
49
CodeNext
CodeNext
CodeNext.ai is an AI-powered coding assistant designed specifically for Xcode developers, offering context-aware code completion and agentic chat functionalities. It supports a wide range of leading AI models, including OpenAI, Azure OpenAI, Google AI, Mistral, Anthropic, Deepseek, Ollama, and more, providing developers with the flexibility to choose and switch between models as needed. It delivers intelligent, real-time code suggestions as you type, enhancing productivity and coding efficiency. Its agentic chat feature allows developers to interact in natural language to write code, fix bugs, refactor, and perform various coding tasks within or beyond the codebase. CodeNext.ai includes custom chat plugins that enable the execution of terminal commands and shortcuts directly within the chat interface, streamlining the development workflow.Starting Price: $15 per month -
50
Codestral
Mistral AI
We introduce Codestral, our first-ever code model. Codestral is an open-weight generative AI model explicitly designed for code generation tasks. It helps developers write and interact with code through a shared instruction and completion API endpoint. As it masters code and English, it can be used to design advanced AI applications for software developers. Codestral is trained on a diverse dataset of 80+ programming languages, including the most popular ones, such as Python, Java, C, C++, JavaScript, and Bash. It also performs well on more specific ones like Swift and Fortran. This broad language base ensures Codestral can assist developers in various coding environments and projects.Starting Price: Free
