Robot Framework
NumPy
Our great sponsors
Robot Framework | NumPy | |
---|---|---|
52 | 272 | |
9,011 | 26,290 | |
2.1% | 1.4% | |
9.7 | 10.0 | |
7 days ago | about 9 hours ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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
-
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
-
Ask HN: What is the best way to automate a Windows desktop application in 2023?
I'm looking for tools, strategies, libraries, etc. that would be useful for automating arbitrary desktop applications. Ideally something free and open source. Robot Framework (https://robotframework.org/) looks promising, although the docs seem deliberately unclear about how useable the open source libraries are without the cloud SaaS being sold on top.
Does anyone have experience in this area? What's your secret sauce for robust desktop automations?
-
How is Python used in test automation in embedded systems?
In the industry I've seen the framework "Robot framework" https://robotframework.org/ used a lot for test automation.
-
Successful open source RPA solutions
Check out Robot Framework @ https://robotframework.org/
- Robot Framework: generic open source automation framework
-
Gherkin and Robot Framework
Greetings! They say all good things must come to an end, and with this post, so it is with my series of posts covering Robot Framework.
NumPy
-
Dot vs Matrix vs Element-wise multiplication in PyTorch
In NumPy with @, dot() or matmul():
- NumPy 2.0.0 Beta1
-
Element-wise vs Matrix vs Dot multiplication
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication.
- JSON dans les projets data science : Trucs & Astuces
-
JSON in data science projects: tips & tricks
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:
-
Introducing Flama for Robust Machine Learning APIs
numpy: A library for scientific computing in Python
- help with installing numpy, please
-
A Comprehensive Guide to NumPy Arrays
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy.
-
Why do all the popular projects use relative imports in __init__ files if PEP 8 recommends absolute?
I was looking at all the big projects like numpy, pytorch, flask, etc.
-
NumPy 2.0 development status & announcements: major C-API and Python API cleanup
I wish the NumPy devs would more thoroughly consider adding full fluent API support, e.g. x.sqrt().ceil(). [Issue #24081]
What are some alternatives?
pytest - The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
SymPy - A computer algebra system written in pure Python
Behave - BDD, Python style.
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
Selenium Wire - Extends Selenium's Python bindings to give you the ability to inspect requests made by the browser.
SciPy - SciPy library main repository
Slash - The Slash testing infrastructure
blaze - NumPy and Pandas interface to Big Data
hypothesis - Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
Numba - NumPy aware dynamic Python compiler using LLVM
Selenium WebDriver - A browser automation framework and ecosystem.
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).