The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Top 23 Python Awesome Projects
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HelloGitHub
:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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awesome-oss-alternatives
Awesome list of open-source startup alternatives to well-known SaaS products 🚀
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PaddleHub
Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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awesome-chatgpt-api
Curated list of apps and tools that not only use the new ChatGPT API, but also allow users to configure their own API keys, enabling free and on-demand usage of their own quota.
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xxh
🚀 Bring your favorite shell wherever you go through the ssh. Xonsh shell, fish, zsh, osquery and so on.
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awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading. (by paperswithbacktest)
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Phoenix
wxPython's Project Phoenix. A new implementation of wxPython, better, stronger, faster than he was before. (by wxWidgets)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Python: https://github.com/vinta/awesome-python
No, it looks more like a Rust equivalent of libraries like ffn (financial functions for python) or many of the other ones listed here https://github.com/wilsonfreitas/awesome-quant
Using rust to do exploratory analysis in python seems like a misguided idea. But using rust to productize models that have performance and accuracy sensitivities, the things that C/C++ is still used for, indeed sounds like a good idea.
Most of the python libraries used in finance, like numpy/pandas, call out to C for performance reasons; the libraries are essentially python bindings + syntax to C functions. It would be interesting to think about replacing that backend with rust.
Project mention: Ask HN: What Underrated Open Source Project Deserves More Recognition? | news.ycombinator.com | 2024-03-07I see that you said github repo, but my life experience has been that those "awesome" style repos are committed to once and then ignore all pull requests or issues going forward. Thus, I think the audience would be better served by AlternativeTo or one of its ilk, which offers a licensing filter on their lists (e.g. https://alternativeto.net/software/github/?license=opensourc... )
But, a quick search for alternative coughed up a few results, which exhibit the behavior I described https://github.com/RunaCapital/awesome-oss-alternatives#awes... https://github.com/btw-so/open-source-alternatives?tab=readm...
One may also find more via topic exploration, e.g. https://github.com/topics/alternatives
Project mention: I had a great experience with Scala and hopefully it will get more popular | /r/scala | 2023-07-11last, resources :) if you are still missing something, try looking on the Scaladex or Scala list of awesome which also links to lot of learning material
Project mention: anomaly-detection-resources: NEW Extended Research - star count:7507.0 | /r/algoprojects | 2023-10-24
Project mention: Curated list of apps and tools that allow ChatGPT API keys | /r/ChatGPT | 2023-06-05
Extract from awesome-open-gpt
Lots of good projects on https://github.com/kelvins/awesome-mlops too
I have been participating hacktoberfest since 2021. And here's 2023 and I am on my third hacktoberfest. Though I haven't got time to contribute much but have the chance to complete my goals of 4 PRs. Here's the last PR link that I have got to merge. https://github.com/public-apis-dev/public-apis/pull/219
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
The latest post mention was on 2024-03-07.
Python Awesome related posts
- The secret weapon of Bash power users
- How I do technology watch
- Ask HN: How to Get into Quantitative Trading?
- OSS Alternatives: List of open source alternatives to popular services
- Choosing an Orchestrator in a green-field setup
- How do you deal with CI, project config, etc. falling out of sync across repos?
- Collection of GPTs Prompts, Could be used to bypass the 25 message limit or to try out GPTs without a Plus subscription.
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A note from our sponsor - WorkOS
workos.com | 20 Apr 2024
Index
What are some of the best open-source Awesome projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | awesome-python | 204,062 |
| 2 | HelloGitHub | 84,468 |
| 3 | awesome-quant | 15,910 |
| 4 | awesome-oss-alternatives | 15,045 |
| 5 | PaddleHub | 12,501 |
| 6 | awesome-chatgpt-zh | 9,817 |
| 7 | awesome-scala | 8,924 |
| 8 | awesome-math | 8,140 |
| 9 | awesome-honeypots | 7,998 |
| 10 | anomaly-detection-resources | 7,858 |
| 11 | CoreML-Models | 6,212 |
| 12 | Awesome-WAF | 5,902 |
| 13 | awesome-chatgpt-api | 5,615 |
| 14 | awesome-open-gpt | 5,002 |
| 15 | xxh | 4,966 |
| 16 | awesome-mlops | 3,555 |
| 17 | best-of-python | 3,400 |
| 18 | waka-readme-stats | 3,020 |
| 19 | awesome-systematic-trading | 2,893 |
| 20 | public-apis | 2,766 |
| 21 | awesome-discord-communities | 2,478 |
| 22 | Phoenix | 2,176 |
| 23 | best-of-web-python | 2,155 |
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