Robot Framework
Generic automation framework for acceptance testing and RPA (by robotframework)
NumPy
The fundamental package for scientific computing with Python. (by numpy)
| Robot Framework | NumPy | |
|---|---|---|
| 58 | 310 | |
| 11,296 | 31,038 | |
| 1.2% | 1.0% | |
| 9.7 | 10.0 | |
| 5 days ago | 5 days ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Robot Framework
Posts with mentions or reviews of Robot Framework. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-04-27.
- Generic automation framework for acceptance testing and RPA
- Most Effective Approaches for Debugging Applications
Fixing a bug is incomplete without preventing its recurrence. Root cause analysis (RCA), coupled with regression testing and documentation, ensures long-term reliability. Antony Marceles, Founder of Pumex Computing, emphasizes, “Fixing a bug is only part of the solution, preventing it from happening again is the real goal.” Marceles’ team uses regression tests via Robot Framework and code reviews with Gerrit to maintain quality, documenting fixes in Confluence to share insights. A 2023 Forrester report found that teams with strong RCA practices reduce recurring bugs by 35%.
- Tutorial Robot Framework: Instalación y primeros pasos
- Robot Framework Using the Browser Library: Advantages, Disadvantages, and Practical Tips
Documentation is your best friend. It provides comprehensive guides, examples, and API references to help you navigate the library effectively. Here you can access it, as well as the Robot Framework documentation.
- Automated Acceptance Testing with Robot Framework and Testkube
The Robot Framework is an acceptance testing tool that is easy to write and manage due to its key-driven approach. Let us learn more about the Robot Framework to enable acceptance testing.
- Beautiful is better than ugly, but my beginner code is horrible
Well, I work with software quality and despite not having a strong foundation in automation, one fine day I decided to make a change. I have been working with Robot Framework for a few months - and that's when I got a taste of the power of python. Some time later, I dabbled a little with Cypress and Playwright, always using javascript.
- Deep Dive into API Testing - An introduction to RESTful APIs
Robot Framework
- Robot Framework VS vedro - a user suggested alternative 2 projects | 16 Jul 2023
- Embedded professionals, what kind of 'github' projects would make you hire a developer?
I've used Lua/Busted in a data-heavy environment (telemetry from hospital ventilators). I've also used robot: https://robotframework.org/
- Opensource Gui testing framework
I can't say whether any of these will work, but maybe one of: PyAutoGui pytest-qt Robot Framework + plugins
NumPy
Posts with mentions or reviews of NumPy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-11-25.
- Python is not a great language for data science. Part 1: The experience
- Choosing Tech Stack in 2025: A Practical Guide
Unmatched integration with ML/AI ecosystems through NumPy, TensorFlow, and PyTorch
- What Dynamic Typing Is For
- Bringing NumPy's type-completeness score to nearly 90% – Pyrefly
> Let’s take a pause here for a second - the ‘CanIndex’ and ‘SupportsIndex’ from the looks are just “int”.
The PR for the change is https://github.com/numpy/numpy/pull/28913 - The details of files changed[0] shows the change was made in 'numpy/__init__.pyi'. Looking at the whole file[1] shows SupportsIndex is being imported from the standard library's typing module[2].
Where are you seeing SupportsIndex being defined as an int?
> I have a hard time dealing with these custom types because they are so obscure.
SupportsIndex is obscure, I agree, but it's not a custom type. It's defined in stdlib's typing module[2], and was added in Python 3.8.
[0]: https://github.com/numpy/numpy/pull/28913/files
[1]: https://github.com/charris/numpy/blob/c906f847f8ebfe0adec896...
[2]: https://docs.python.org/3/library/typing.html#typing.Support...
- Don’t Let Cyber Risk Kill Your GenAI Vibe: A Developer’s Guide
Know (or check) tells of older versions, such as the python sdk of OpenAI changing from a client with global state in v0.x.x, to a declared instance in v1.x.x, or numpy's change in how random generators are declared.
- Top 5 GitHub Repositories for Data Science in 2026
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A…
- Your 2025 Roadmap to Becoming an AI Engineer for Free for Vue.js Developers
AI starts with math and coding. You don’t need a PhD—just high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI, thanks to tools like TensorFlow and NumPy. If you know JavaScript from Vue.js, Python’s syntax is straightforward.
- Top 17 Tools for Scientific Simulation & Modeling
- Release v2.3.0 (June 7, 2025) · NumPy/NumPy
- How to Get Started with Scikit-Learn: A Beginner-Friendly Guide to Machine Learning in Python
As is the case with most Python libraries, it is open-source and free-to-use, making it easily accessible by anyone willing to learn machine learning, and it is built upon other open-source libraries within Python, like SciPy for advanced scientific operations, NumPy for efficient numerical computations, Matplotlib for data visualization, and Cython for increased efficiency and speed, similar to that of C/C++.
What are some alternatives?
When comparing Robot Framework and NumPy you can also consider the following projects:
pytest - The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
mitmproxy - An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
Behave - BDD, Python style.
SymPy - A computer algebra system written in pure Python
Selenium Wire - Extends Selenium's Python bindings to give you the ability to inspect requests made by the browser.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more