Alternatives to Seaborn

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

  • 1
    Matplotlib

    Matplotlib

    Matplotlib

    Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a projection and mapping toolkit (Cartopy).
    Starting Price: Free
  • 2
    ggplot2

    ggplot2

    ggplot2

    ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics. You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details. ggplot2 is now over 10 years old and is used by hundreds of thousands of people to make millions of plots. That means, by-and-large, ggplot2 itself changes relatively little. When we do make changes, they will be generally to add new functions or arguments rather than changing the behavior of existing functions, and if we do make changes to existing behavior we will do them for compelling reasons. If you are new to ggplot2 you are better off starting with a systematic introduction, rather than trying to learn from reading individual documentation pages.
  • 3
    Plotly Dash
    Dash & Dash Enterprise let you build & deploy analytic web apps using Python, R, and Julia. No JavaScript or DevOps required. Through Dash, the world's largest companies elevate AI, ML, and Python analytics to business users at 5% the cost of a full-stack development approach. Deliver apps and dashboards that run advanced analytics: ML, NLP, forecasting, computer vision and more. Work in the languages you love: Python, R, and Julia. Reduce costs by migrating legacy, per-seat licensed software to Dash Enterprise's open-core, unlimited end-user pricing model. Move faster by deploying and updating Dash apps without an IT or DevOps team. Create pixel-perfect dashboards & web apps, without writing any CSS. Scale effortlessly with Kubernetes. Support mission-critical Python applications with high availability.
  • 4
    WebDataRocks

    WebDataRocks

    WebDataRocks

    WebDataRocks is a simple free JS library for creating functional and easy-to-use pivot tables. It can be used with Angular, Vue, React or any other framework. Free Flexible in customization JavaScript based client-side component Loads 1MB of JSON or CSV data files Full set of enterprise features Integration with 3rd party charting libraries Full set of enterprise features Features like filtering, sorting, grouping, conditional and number formatting, calculated values, totals are available for efficient work with your data. It supports printing or exporting web report to PDF, Excel or HTML with just one click. Ready-to-use modern UI The tool offers a classy spreadsheet-like interface optimized both for browsers and apps. All principles of reliability and excellent user experience are already implemented in this web reporting tool.
    Starting Price: Free
  • 5
    CVXOPT

    CVXOPT

    CVXOPT

    CVXOPT is a free software package for convex optimization based on the Python programming language. It can be used with the interactive Python interpreter, on the command line by executing Python scripts, or integrated in other software via Python extension modules. Its main purpose is to make the development of software for convex optimization applications straightforward by building on Python’s extensive standard library and on the strengths of Python as a high-level programming language. Efficient Python classes for dense and sparse matrices (real and complex), with Python indexing and slicing and overloaded operations for matrix arithmetic. Interfaces to the linear programming solver in GLPK, the semidefinite programming solver in DSDP5, and the linear, quadratic and second-order cone programming solvers in MOSEK.
    Starting Price: Free
  • 6
    gevent

    gevent

    gevent

    gevent is a coroutine-based Python networking library that uses greenlet to provide a high-level synchronous API on top of the libev or libuv event loop. gevent is inspired by eventlet but features a more consistent API, simpler implementation and better performance. Read why others use gevent and check out the list of the open source projects based on gevent.
    Starting Price: Free
  • 7
    PyQtGraph

    PyQtGraph

    PyQtGraph

    PyQtGraph is a pure-python graphics and GUI library built on PyQt/PySide and NumPy. It is intended for use in mathematics/scientific/engineering applications. Despite being written entirely in python, the library is very fast due to its heavy leverage of NumPy for number crunching and Qt's GraphicsView framework for fast display. PyQtGraph is distributed under the MIT open-source license. Basic 2D plotting in interactive view boxes. Line and scatter plots. Data can be panned/scaled by mouse. Fast drawing for real-time data display and interaction. Displays most data types (int or float; any bit depth; RGB, RGBA, or luminance). Functions for slicing multidimensional images at arbitrary angles (great for MRI data). Rapid update for video display or real-time interaction. Image display with interactive lookup tables and level control. Mesh rendering with isosurface generation. Interactive viewports rotate/zoom with mouse. Basic 3D scenegraph for easier programming.
    Starting Price: Free
  • 8
    websockets

    websockets

    Python Software Foundation

    An implementation of the WebSocket Protocol (RFC 6455 & 7692). websockets is a library for building WebSocket servers and clients in Python with a focus on correctness, simplicity, robustness, and performance. Built on top of asyncio, Python’s standard asynchronous I/O framework, it provides an elegant coroutine-based API. websockets is heavily tested for compliance with RFC 6455. Continuous integration fails under 100% branch coverage. websockets is built for production. For example, it was the only library to handle backpressure correctly before the issue became widely known in the Python community. Memory usage is optimized and configurable. A C extension accelerates expensive operations. It’s pre-compiled for Linux, macOS, and Windows and packaged in the wheel format for each system and Python version. websockets takes care of everything under the hood so you can focus on your application!
    Starting Price: Free
  • 9
    Scapy

    Scapy

    Scapy

    Scapy is a powerful interactive packet manipulation program. It is able to forge or decode packets of a wide number of protocols, send them on the wire, capture them, match requests and replies, and much more. It can easily handle most classical tasks like scanning, tracerouting, probing, unit tests, attacks, or network discovery (it can replace hping, 85% of nmap, arpspoof, arp-sk, arping, tcpdump, tshark, p0f, etc.). It also performs very well at a lot of other specific tasks that most other tools can’t handle, like sending invalid frames, injecting your own 802.11 frames, combining technics (VLAN hopping+ARP cache poisoning, VOIP decoding on WEP encrypted channel), etc. Scapy runs natively on Linux, Windows, OSX, and on most Unixes with libpcap. The same code base now runs natively on both Python 2 and Python 3. Scapy development uses the Git version control system. Scapy reference repository is hosted on GitHub.
    Starting Price: Free
  • 10
    requests

    requests

    Python Software Foundation

    Requests is a simple, yet elegant, HTTP library. Requests allows you to send HTTP/1.1 requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your PUT & POST data, but nowadays, just use the JSON method! Requests is one of the most downloaded Python packages today, pulling in around 30M downloads/week, according to GitHub, Requests is currently depended upon by 1,000,000+ repositories. You may certainly put your trust in this code. Requests is available on PyPI. Requests is ready for the demands of building robust and reliable HTTP–speaking applications, for the needs of today. Automatic content decompression and decoding. International domains and URLs. Sessions with cookie persistence. Browser-style TLS/SSL verification. Basic & digest authentication, and familiar dict–like cookies. Multi-part file uploads. SOCKS proxy support. Connection timeouts and streaming downloads.
    Starting Price: Free
  • 11
    urllib3

    urllib3

    urllib3

    urllib3 is a powerful, user-friendly HTTP client for Python. Much of the Python ecosystem already uses urllib3 and you should too. urllib3 brings many critical features that are missing from the Python standard libraries. Thread safety, connection pooling, client-side TLS/SSL verification. File uploads with multipart encoding. Helpers for retrying requests and dealing with HTTP redirects. Support for gzip, deflate, and brotli encoding. Proxy support for HTTP and SOCKS. 100% test coverage. urllib3 is one of the most downloaded packages on PyPI and is a dependency of many popular Python packages like Requests, Pip, and more! urllib3 is made available under the MIT License. The API Reference documentation provides API-level documentation. The User Guide is the place to go to learn how to use the library and accomplish common tasks. The more in-depth Advanced Usage guide is the place to go for lower-level tweaking.
    Starting Price: Free
  • 12
    broot

    broot

    broot

    The ROOT data analysis framework is used much in High Energy Physics (HEP) and has its own output format (.root). ROOT can be easily interfaced with software written in C++. For software tools in Python there exists pyROOT. Unfortunately, pyROOT does not work well with python3.4. broot is a small library that converts data in python numpy ndarrays to ROOT files containing trees with a branch for each array. The goal of this library is to provide a generic way of writing python numpy datastructures to ROOT files. The library should be portable and supports both python2, python3, ROOT v5 and ROOT v6 (requiring no modifications on the ROOT part, just the default installation). Installation of the library should only require a user to compile to library once or install it as a python package.
    Starting Price: Free
  • 13
    pyglet

    pyglet

    pyglet

    The cross-platform windowing and multimedia library for Python. pyglet is a powerful, yet easy-to-use Python library for developing games and other visually-rich applications on Windows, Mac OS X, and Linux. It supports windowing, user interface event handling, Joysticks, OpenGL graphics, loading images, and videos, and playing sounds and music. All of this with a friendly Pythonic API, that's simple to learn and doesn't get in your way. pyglet is provided under the BSD open-source license, allowing you to use it for both commercial and other open-source projects with very little restriction. No external dependencies or installation requirements. For most application and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. This makes it easy to package your project with freezers such as PyInstaller. pyglet provides real platform native windows, allowing you to take advantage of multiple windows and multi-monitor desktops.
    Starting Price: Free
  • 14
    yarl

    yarl

    Python Software Foundation

    All URL parts, scheme, user, password, host, port, path, query, and fragment are accessible by properties. All URL manipulations produce a new URL object. Strings passed to constructor and modification methods are automatically encoded giving canonical representation as result. Regular properties are percent-decoded, use raw_ versions for getting encoded strings. Human-readable representation of URL is available as .human_repr(). PyPI contains binary wheels for Linux, Windows and MacOS. If you want to install yarl on another operating system (like Alpine Linux, which is not manylinux-compliant because of the missing glibc and therefore, cannot be used with our wheels) the tarball will be used to compile the library from the source code. It requires a C compiler and Python headers installed. Please note that the pure-Python (uncompiled) version is much slower. However, PyPy always uses a pure-Python implementation, and, as such, it is unaffected by this variable.
    Starting Price: Free
  • 15
    Cliprun

    Cliprun

    Cliprun

    Cliprun makes Python automation accessible by turning your browser into a powerful development environment. Right-click any code you find online - from ChatGPT conversations to GitHub snippets - to instantly execute it without setup. Create scheduled scripts to automate repetitive tasks, analyze data with popular libraries like pandas and matplotlib, and interact with web content directly. Whether you're scraping data, automating workflows, or just experimenting with Python code, Cliprun removes the traditional barriers of environment setup and package management, letting you focus on solving problems.
    Starting Price: $10/month
  • 16
    DHTMLX

    DHTMLX

    DHTMLX

    DHTMLX is a JavaScript UI library that provides a set of highly customizable and flexible components for building modern and responsive web applications. The library includes more than 30 UI components, such as Gantt, Scheduler, Kanban, diagrams, charts, grids, spreadsheets, calendars, trees, forms, and more. DHTMLX helps to advance web development and build feature-rich data-intensive applications of any complexity. One of the key advantages of DHTMLX is its compatibility with different web frameworks, including React, Angular, and Vue.js, which makes it a great choice for developers who are already working with these frameworks. DHTMLX is also designed with performance in mind. Its components are optimized for fast rendering. A comprehensive and rich API provides a straightforward way to manipulate JavaScript/HTML5 UI widgets. The library has detailed API documentation, tutorials, and examples that help developers quickly get up to speed and start building their apps.
    Starting Price: $79
  • 17
    Pillow

    Pillow

    Pillow

    The Python Imaging Library adds image processing capabilities to your Python interpreter. This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities. The core image library is designed for fast access to data stored in a few basic pixel formats. It should provide a solid foundation for a general image processing tool. Pillow for enterprise is available via the Tidelift subscription. The Python Imaging Library is ideal for image archival and batch processing applications. You can use the library to create thumbnails, convert between file formats, print images, etc. The current version identifies and reads a large number of formats. Write support is intentionally restricted to the most commonly used interchange and presentation formats. The library contains basic image processing functionality, including point operations, filtering with a set of built-in convolution kernels, and color space conversions.
    Starting Price: Free
  • 18
    Vega-Altair

    Vega-Altair

    Vega-Altair

    The Vega-Altair open-source project is not affiliated with Altair Engineering, Inc. With Vega-Altair, you can spend more time understanding your data and its meaning. Altair’s API is simple, friendly and consistent and built on top of the powerful Vega-Lite visualization grammar. This elegant simplicity produces beautiful and effective visualizations with a minimal amount of code. The key idea is that you are declaring links between data columns and visual encoding channels, such as the x-axis, y-axis, color, etc. The rest of the plot details are handled automatically. Building on this declarative plotting idea, a surprising range of simple to sophisticated plots and visualizations can be created using relatively concise grammar.
    Starting Price: Free
  • 19
    ActiveReports

    ActiveReports

    GrapeCity

    ActiveReports is a complete reporting solution for .NET. Deliver beautiful reports with our intuitive Visual Studio integrated report designer and rich controls. - Feature packed reporting for WinForms, WPF, ASP.NET, MVC, .NET Core, and .NET Core 3 - End User Report Designers for Web and Desktop - Flexible API and expressions support for dynamic reporting - Multiple report types to fit all reporting needs - 10+ Export formats What's New in ActiveReports. NET v16: - .NET 6 support - New Blazor Viewer - New Wizards - Chart upgrades - Mixed Page Orientation for Page Reports - InputField Control for Section Reports What's New in ActiveReportsJS v2.1: - Display dynamic HTML content with RichText support - Angular, React, and Vue Report Designer Components - Designer enhancements - Revised Report Author Guide
    Starting Price: $849/developer
  • 20
    List & Label
    List & Label is a report generator for software developers to integrate reporting functions in their web, cloud and desktop applications. Made for development environments such as .NET, C#, Delphi, C++, ASP.NET, ASP.NET MVC, .NET Core etc. It is seamless to integrate, supports a huge variety of data sources and extends applications with extensive print, export and preview functions. With the WYSIWYG Report Designer, developers or end users create or edit different print templates for printing information that originates either from a database or another data source. In the Designer, you then have all the data at your disposal to prepare it for printing in different ways. The additionally included and entirely browser-based Web Report Designer for ASP.NET MVC offers more flexibility in development and is independent from printer drivers. Reports for web applications can be designed anywhere at any time in the browser of your choice.
    Starting Price: €650/license
  • 21
    Beautiful Soup

    Beautiful Soup

    Beautiful Soup

    Beautiful Soup is a library that makes it easy to scrape information from web pages. It sits atop an HTML or XML parser, providing Pythonic idioms for iterating, searching, and modifying the parse tree. Beautiful Soup's support for Python 2 was discontinued on December 31, 2020: one year after the sunset date for Python 2 itself. From this point onward, new Beautiful Soup development will exclusively target Python 3. The final release of Beautiful Soup 4 to support Python 2 was 4.9.3. Beautiful Soup is licensed under the MIT license, so you can also download the tarball, drop the bs4/ directory into almost any Python application (or into your library path) and start using it immediately.
    Starting Price: Free
  • 22
    Ariakit

    Ariakit

    Ariakit

    ​Ariakit is an open source library featuring unstyled, primitive components designed to help developers build accessible web applications with React. It provides a collection of styled examples that can be copied and pasted into applications. Ariakit's components are designed with accessibility in mind, supporting features like keyboard navigation and screen reader compatibility. It also offers integration examples with tools like Next.js App Router and React's useTransition for building responsive and accessible UIs. Developers can explore the documentation, component guides, and API references to get started.
    Starting Price: Free
  • 23
    gTTS

    gTTS

    gTTS

    gTTS (Google Text-to-Speech), a Python library and CLI tool to interface with Google Translate's text-to-speech API. Write spoken mp3 data to a file, a file-like object (bytestring) for further audio manipulation, or stdout. Or simply pre-generate Google Translate TTS request URLs to feed to an external program. Customizable speech-specific sentence tokenizer that allows for unlimited lengths of text to be read, all while keeping proper intonation, abbreviations, decimals and more. Customizable text pre-processors which can, for example, provide pronunciation corrections.
    Starting Price: Free
  • 24
    Lucide

    Lucide

    Lucide

    Lucide is an open source icon library offering over 1,500 lightweight, scalable vector graphics (SVG) icons designed with a strict set of design rules for consistency in style and readability. These icons are highly customizable, allowing developers to adjust color, size, stroke width, and more to match their UI needs. Lucide's icons are tree-shakable, ensuring that only the icons used are included in the final bundle, optimizing performance. The library provides official packages for various frameworks and platforms, including React, Vue, Svelte, Solid, Angular, Preact, Astro, React Native, and Flutter, facilitating easy integration into diverse projects. Lucide also offers a web-based customizer for real-time icon adjustments and supports accessibility best practices. As a community-driven project and a fork of Feather Icons, Lucide encourages contributions and maintains active engagement through GitHub and Discord.
    Starting Price: Free
  • 25
    imageio

    imageio

    imageio

    Imageio is a Python library that provides an easy interface to read and write a wide range of image data, including animated images, volumetric data, and scientific formats. It is cross-platform, runs on Python 3.5+, and is easy to install. Imageio is written in pure Python, so installation is easy. Imageio works on Python 3.5+. It also works on Pypy. Imageio depends on Numpy and Pillow. For some formats, imageio needs additional libraries/executables (e.g. ffmpeg), which imageio helps you to download/install. If something doesn’t work as it should, you need to know where to search for causes. The overview on this page aims to help you in this regard by giving you an idea of how things work, and - hence - where things may go sideways.
    Starting Price: Free
  • 26
    openpyxl

    openpyxl

    openpyxl

    openpyxl is a Python library to read/write Excel 2010 xlsx/xlsm/xltx/xltm files. It was born from a lack of an existing library to read/write natively from Python in the Office Open XML format. All kudos to the PHPExcel team as openpyxl was initially based on PHPExcel. By default, openpyxl does not guard against quadratic blowup or billion laughs XML attacks. To guard against these attacks install defusedxml. Install openpyxl using pip. It is advisable to do this in a Python virtualenv without system packages. Sometimes you might want to work with the checkout of a particular version. This may be the case if bugs have been fixed but a release has not yet been made. There is no need to create a file on the filesystem to get started with openpyxl. Just import the Workbook class and start work. Sheets are given a name automatically when they are created. Once you gave a worksheet a name, you can get it as a key of the workbook.
    Starting Price: Free
  • 27
    FormValidation

    FormValidation

    FormValidation

    From v1.0.0, the library is rewritten in Typescript and ES6 completely. The giant and old jQuery plugin doesn't exist anymore. With the new plugin-based architecture, the library has really small core. Everything else is built around as a plugin. Each file in the dist/css and dist/js folders has two versions: the normal code in the .css, .js files, and the minified code in the .min.css, .min.js files. In order to reduce the page loading time and enhance the user experience when visiting your site, you should use the .min.css, .min.js files in the production website. Meanwhile, in the development mode, you should use the normal files without .min part to debug the code more easy.
    Starting Price: $50 one-time payment
  • 28
    cryptography

    cryptography

    cryptography

    cryptography includes both high-level recipes and low-level interfaces to common cryptographic algorithms such as symmetric ciphers, message digests, and key derivation functions. Encrypt with cryptography’s high-level symmetric encryption recipe. cryptography is broadly divided into two levels. One with safe cryptographic recipes that require little to no configuration choices. These are safe and easy to use and don’t require developers to make many decisions. The other level is low-level cryptographic primitives. These are often dangerous and can be used incorrectly. They require making decisions and having an in-depth knowledge of the cryptographic concepts at work. Because of the potential danger in working at this level, this is referred to as the “hazardous materials” or “hazmat” layer. These live in the cryptography.hazmat package, and their documentation will always contain an admonition at the top.
  • 29
    ruffus

    ruffus

    ruffus

    Ruffus is a computation pipeline library for python. It is open-sourced, powerful and user-friendly, and widely used in science and bioinformatics. Ruffus is designed to allow scientific and other analyses to be automated with the minimum of fuss and the least effort. Suitable for the simplest of tasks. Handles even fiendishly complicated pipelines which would cause make or scons to go cross-eyed and recursive. No "clever magic", no pre-processing. Unambitious, the lightweight syntax which tries to do this one small thing well. Ruffus is available under the permissive MIT free software license. This permits free use and inclusion even within proprietary software. It is good practice to run your pipeline in a temporary, “working” directory away from your original data. Ruffus is a lightweight python module for building computational pipelines. Ruffus requires Python 2.6 or higher or Python 3.0 or higher.
    Starting Price: Free
  • 30
    python-sql

    python-sql

    Python Software Foundation

    python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.
    Starting Price: Free
  • 31
    IMSL

    IMSL

    Perforce

    Enhance performance and save development time with IMSL numerical libraries. Achieve your strategic objectives using IMSL's build tools. Model regression, make decision trees, establish neural networks, and forecast time series with your IMSL library. Rigorously tested and proven for decades across all industries, the IMSL C Numerical Library gives companies a dependable, high-ROI solution for building cutting-edge analytics tools. From data mining and forecasting, to advanced statistical analysis, the IMSL C Numerical Library can help teams quickly add sophisticated functionality to analytic applications. The IMSL C library makes integration and deployment easy. Enjoy easy migrations, support for common platforms and platform combinations, and no added infrastructure on embed in databases or applications.
  • 32
    pygame

    pygame

    pygame

    Pygame is a set of Python modules designed for writing video games. Pygame adds functionality on top of the excellent SDL library. This allows you to create fully featured games and multimedia programs in the python language. Pygame is highly portable and runs on nearly every platform and operating system. Pygame is free. Released under the LGPL license, you can create open-source, freeware, shareware, and commercial games with it. With dual-core CPUs common, and 8-core CPUs cheaply available on desktop systems, making use of multi-core CPUs allows you to do more in your game. Selected pygame functions release the dreaded python GIL, which is something you can do from C code. Uses optimized C and assembly code for core functions. C code is often 10-20 times faster than python code, and assembly code can easily be 100x or more times faster than python code. Comes with many operating systems. Just an apt-get, emerge, pkg_add, or just install away.
    Starting Price: Free
  • 33
    python-docx

    python-docx

    python-docx

    python-docx is a Python library for creating and updating Microsoft Word (.docx) files. Paragraphs are fundamental in Word. They’re used for body text, but also for headings and list items like bullets. You’re free to specify both width and height, but usually, you wouldn’t want to. If you specify only one, python-docx uses it to calculate the properly scaled value of the other. This way the aspect ratio is preserved and your picture doesn’t look stretched. If you don’t know what a Word paragraph style is you should definitely check it out. Basically, it allows you to apply a whole set of formatting options to a paragraph at once. python-docx allows you to create new documents as well as make changes to existing ones. Actually, it only lets you make changes to existing documents; it’s just that if you start with a document that doesn’t have any content, it might feel at first like you’re creating one from scratch.
    Starting Price: Free
  • 34
    WTForms

    WTForms

    WTForms

    WTForms is a flexible forms validation and rendering library for Python web development. It can work with whatever web framework and template engine you choose. It supports data validation, CSRF protection, internationalization (I18N), and more. There are various community libraries that provide closer integration with popular frameworks. WTForms tries to provide as usable an API as possible. We’ve listed here some of the known libraries to work with WTForms, but if it’s not listed, it doesn’t mean it won’t work. Pretty much any ORM or object-DB should work, as long as data objects allow attribute access to their members. WTForms uses unicode strings throughout the source code and assumes that form input has already been coerced to unicode by your framework. WTForms fields render to unicode strings by default, and therefore as long as your templating engine can work with that, you should have no unicode issues.
    Starting Price: Free
  • 35
    E-ICEBLUE

    E-ICEBLUE

    E-ICEBLUE

    E-iceblue provides a comprehensive suite of professional development libraries and APIs designed to enable developers to create, read, write, edit, convert, print, manipulate and view a wide range of document formats programmatically across multiple programming environments without relying on external applications like Microsoft Office or Adobe Acrobat. Its product range includes Spire.Office and individual components for .NET platforms (such as Spire.Doc, Spire.XLS, Spire.Presentation, Spire.PDF, Spire.Barcode, Spire.Email and Spire.OCR) that handle Word, Excel, PowerPoint, PDF, barcode generation and email operations in C#, VB.NET, ASP.NET, .NET Core, Xamarin and WPF applications, plus viewer libraries for embedded document display. E-iceblue also offers equivalent APIs for Java, C++, Python and JavaScript, as well as mobile and cloud libraries (including Spire.Cloud.Office with HTML5 browser support for Word and Excel), supporting document processing tasks.
  • 36
    NumPy

    NumPy

    NumPy

    Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.
    Starting Price: Free
  • 37
    Material Design Lite

    Material Design Lite

    Material Design Lite

    Material Design Lite (MDL) is a library of components for web developers based on Google's Material Design Philosophy: "A visual language for our users that synthesizes the classic principles of good design with the innovation and possibility of technology and science." Understanding the goals and principles of Material Design is critical to the proper use of the Material Design Lite components. If you have not yet read the Material Design Introduction you should do so before attempting to use the components. To use the dialog component, you must be using a browser that supports the dialog element. Only Chrome and Opera have native support at the time of writing. For other browsers you will need to include the dialog polyfill or create your own. Once you have dialog support create a dialog element. The element when using the polyfill must be a child of the body element. Within that container, add a content element with the class mdl-dialog content.
    Starting Price: Free
  • 38
    scikit-learn

    scikit-learn

    scikit-learn

    Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.
    Starting Price: Free
  • 39
    statsmodels

    statsmodels

    statsmodels

    statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and statistical data exploration. An extensive list of result statistics is available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open-source Modified BSD (3-clause) license. statsmodels supports specifying models using R-style formulas and pandas DataFrames. Have a look at dir(results) to see available results. Attributes are described in results.__doc__ and results methods have their own docstrings. You can also use numpy arrays instead of formulas. The easiest way to install statsmodels is to install it as part of the Anaconda distribution, a cross-platform distribution for data analysis and scientific computing. This is the recommended installation method for most users.
    Starting Price: Free
  • 40
    Workflow Engine
    Embeddable .NET library for running workflows in .NET applications with integrated HTML5 graphical workflow designer. Designer allows you to easily create interactive workflows of any complexity, there’s no need to draft them programmatically. Workflow Engine is a backbone solution for business process management (BPM) which makes it feasible to automate the workflow design by using low-code visual builders. It is based on the .NET framework and JavaScript libraries. Workflow Engine enables workflow processing and correct integration by providing a graphic designer to create process workflow schemes and at the same time, this software component facilitates the management, execution, and visualization of workflow processes. Integration with solutions based on other technologies or databases is roughly the same and should not entail any difficulties. Workflow Engine offers its users all the components necessary to implement workflows of any complexity.
    Starting Price: $499 one-time payment
  • 41
    waiting

    waiting

    Python Software Foundation

    waiting is a small library for waiting for stuff to happen. It basically waits for a function to return True, in various modes. Waiting is compatible with flux for simulated timelines. The most basic usage is when you have a function you want to wait for. Waiting forever is very simple. If your predicate returns a value, it will be returned as the result of wait(). A timeout parameter can also be specified. When a timeout expires without the predicate being fulfilled, an exception is thrown. Sleeping polls the predicate at a certain interval (by default 1 second). The interval can be changed with the sleep_seconds argument. When waiting for multiple predicates, waiting provides two simple facilities to help aggregate them, any and all. They resemble Python’s built-in any() and all(), except that they don’t call a predicate once it has been satisfied (this is useful when the predicates are inefficient and take time to complete).
    Starting Price: Free
  • 42
    Oracle Data Access Components (ODAC)
    Oracle Data Access Components (ODAC) are a set of Windows and .NET data access drivers and tools. They include support for .NET data access, Microsoft Visual Studio tools for developing Oracle database applications; and ASP.NET providers. ODAC provides comprehensive client support for advanced Oracle database functionality, including performance, high availability, and security, among other features. It is tightly integrated with Visual Studio to provide a seamless development experience for developers. Oracle Data Provider for .NET is an implementation of Microsoft's ADO.NET interface and provides access to Oracle databases. OLAP Data Manipulation Language (OLAP DML) is used to define and manipulate analytic workspace objects. High performance, a feature-rich mechanism for Microsoft ADO and OLE DB data access to Oracle databases, its usage, and its configuration. Provides introductory, installation, post-installation configuration, and usage information.
    Starting Price: Free
  • 43
    Unirest
    Unirest is a set of lightweight HTTP libraries available in multiple languages, built and maintained by Kong, who also maintains the open-source API Gateway Kong. To utilize Unirest for node.js install the npm module. You're probably wondering how using Unirest makes creating requests easier. Besides automatically supporting gzip, and parsing responses, you can start with basic examples. A request can be initiated by invoking the appropriate method on the Unirest object, then calling .end() to send the request. Alternatively, you can send the request directly by providing a callback along with the URL. Provides simple and easy-to-use methods for manipulating the request prior to being sent. This object is created when a Unirest method is invoked. This object contains methods that are chainable like other libraries such as jQuery and popular request module Superagent (which this library is modeled after slightly).
    Starting Price: Free
  • 44
    h5py

    h5py

    HDF5

    The h5py package is a Pythonic interface to the HDF5 binary data format. It lets you store huge amounts of numerical data, and easily manipulate that data from NumPy. For example, you can slice into multi-terabyte datasets stored on disk, as if they were real NumPy arrays. Thousands of datasets can be stored in a single file, categorized and tagged however you want. H5py uses straightforward NumPy and Python metaphors, like dictionary and NumPy array syntax. For example, you can iterate over datasets in a file, or check out the .shape or .dtype attributes of datasets. You don't need to know anything special about HDF5 to get started. In addition to the easy-to-use high level interface, h5py rests on a object-oriented Cython wrapping of the HDF5 C API. Almost anything you can do from C in HDF5, you can do from h5py.
    Starting Price: Free
  • 45
    Saito

    Saito

    Saito

    Saito is an open network that runs cryptocurrency applications in browsers without plugins, private APIs and non-open infrastructure. Saito survives without an owner while funding the nodes that provide user-facing infrastructure for its own network and other public blockchains. If you are new to Saito, you might enjoy our quick video introduction on what problems Saito solves. Or jump to trying out the network by visiting our community-driven Saito Arcade. For developers interested in building applications or adding support for other crypto cryptocurrencies, our developer section has technical information and tutorials that will get you started. And coding on Saito is really very easy, our introductory tutorial covering how to build and deploy your first application takes about five minutes to complete. Once the basic economic problems can be seen, it is easier to understand why Saito makes the design decisions it does.
  • 46
    NG-ZORRO

    NG-ZORRO

    ng-zorro-antd

    An enterprise-class Angular UI component library based on Ant Design, all components are open source and free to use under MIT license. Ant Design of Angular is dedicated to providing a good development experience for programmers. The following StackBlitz link demonstrates a basic use case, and it is recommended to fork this demo as a baseline while doing Bug Report. However, please do not use this demo as a scaffold in a real production environment. After changing the directory to the newly created project, you can automatically run the following commands to initialize the project's configuration, including importing i18n files and stylesheets and loading initial modules. You may use any existing scaffold tools in the Angular ecosystem in order to customize the building process.
    Starting Price: Free
  • 47
    Arcwise AI

    Arcwise AI

    Arcwise

    Use the AI behind ChatGPT to explain, transform, and ingest data in Sheets with text commands! Business users today are incredibly frustrated with feeling locked out from the data and tools that they need. To start with, we're building a platform on top of the trusty spreadsheet - it’s been around for over 43 years and has an estimated billion users across the world, but hasn’t evolved to keep up with the pace of modern data. Get AI-generated, context-aware formula suggestions with links to relevant StackOverflow posts. Instantly understand, clean, and ingest data in Sheets with the AI behind ChatGPT.
  • 48
    Untitled UI

    Untitled UI

    Untitled UI

    Untitled UI is the world’s largest Figma UI kit, React component library, and icon system, offering designers and developers everything needed to design and build modern interfaces at speed. The Figma library features over 900 global styles and variables for color, typography, and effects, more than 10,000 meticulously crafted components and variants, 420 ready‑to‑use desktop and mobile page examples, and 4,600 neutral icons and logos, fully integrated into one design system. On the development side, Untitled UI React provides an open‑source collection of production‑ready components built with React v19.1, Tailwind CSS v4.1, TypeScript v5.8, and React Aria, ensuring type safety, accessibility (keyboard navigation and screen‑reader support), and lightning‑fast performance without lock‑in. AI‑ready Lovable and bolt.new kits enable instant prototyping with simple prompts, while seamless Figma previews and consistent styling across both platforms.
    Starting Price: $129 per month
  • 49
    GeoPandas

    GeoPandas

    GeoPandas

    GeoPandas is an open-source project to make working with geospatial data in python easier. GeoPandas extends the datatypes used by pandas to allow spatial operations on geometric types. Geometric operations are performed by shapely. Geopandas further depends on fiona for file access and matplotlib for plotting. The goal of GeoPandas is to make working with geospatial data in python easier. It combines the capabilities of pandas and shapely, providing geospatial operations in pandas and a high-level interface to multiple geometries to shapely. GeoPandas enables you to easily do operations in python that would otherwise require a spatial database such as PostGIS. GeoPandas is a community-led project written, used and supported by a wide range of people from all around of world of a large variety of backgrounds. GeoPandas will always be 100% open source software, free for all to use and released under the liberal terms of the BSD-3-Clause license.
  • 50
    parsel

    parsel

    Python Software Foundation

    Parsel is a BSD-licensed Python library to extract and remove data from HTML and XML using XPath and CSS selectors, optionally combined with regular expressions. Create a selector object for the HTML or XML text that you want to parse. Then use CSS or XPath expressions to select elements. CSS is a language for applying styles to HTML documents. It defines selectors to associate those styles with specific HTML elements. XPath is a language for selecting nodes in XML documents, which can also be used with HTML. You can use either CSS or XPath. CSS is usually more readable, but some things can only be done with XPath. Being built atop lxml, parsel selectors support some EXSLT extensions and come with pre-registered namespaces to use in XPath expressions. Parsel selectors allow you to chain selectors, so most of the time you can just select by class using CSS and then switch to XPath when needed.
    Starting Price: Free