software-papers
📚 A curated list of papers for Software Engineers (by facundoolano)
findpapers
Findpapers: A tool for helping researchers who are looking for related works (by jonatasgrosman)
software-papers | findpapers | |
---|---|---|
7 | 1 | |
3,865 | 179 | |
- | - | |
6.7 | 4.0 | |
11 days ago | 3 months ago | |
Python | Python | |
MIT License | MIT License |
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.
software-papers
Posts with mentions or reviews of software-papers.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Looking for recommendations for academic papers in the computer science domain
https://github.com/facundoolano/software-papers has some interesting papers on software engineering
- 📚 A curated list of papers for Software Engineers
- facundoolano/software-papers: 📚 A curated list of papers for Software Engineers
- Papers for Software Engineers
- A curated list of papers for Software Engineers
findpapers
Posts with mentions or reviews of findpapers.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing software-papers and findpapers you can also consider the following projects:
awesome-experimental-standards-deep-learning - Repository collecting resources and best practices to improve experimental rigour in deep learning research.