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TensorFlow_evaluation.md

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Project Evaluation Activity

Project Name:
TensorFlow


Finding info about contributing on the website.

In the following section you should only enter the information that you found on the project website. Some of the answers will be impossible to find, others may be very hard to find. Do not google for answers.

Project website: Website

What is the purpose of the project: The purpose of TensorFlow is to provide the ability for beginners and experts to create machine learning models for desktop, mobile, web, and cloud.

How easy was it to find information about contributing on the website? Pretty easy, I pressed the More drop down on the home page and then community.

Contributing instructions: Here

URL for the code repository: Code repository

Bug/Issue tracker link: Bug/Issue tracker

Mailing list: Mailing list

Chat channel: Chat channel

Other communication channels:


Finding info at the project repository and bug/issue tracker.

License: License Apache License 2.0 Is it OSI approved license:

Programming Language(s): C++, Python, MLIR, Starlark, HTML, Go

URL for contributing instructions: Contributing instructions

Are the contributing instructions clear? Yes it is clear, it has clear step by step instructions on how to contribute at the link.

URL for code of conduct / community norms / community guildelines: Community Guidelines

URL for instructions for users to download and install the package: here.

Are these instructions clear? Do you think they would be easy to follow? Yes, I think they are very clear and easy to fllow

URL for instructions for how to install development environment: here

Are these instruction clear? Do you think they would be easy to follow? No there aren't any of actual instruction on the repo. Its more so to use tensorflow.

Number of contributors: 3510 contributors

Usernames of three contributors with largest number of commits; for each of them list the link to their latest commit:

  1. [tensorflower-gardener] (46,431 commits) - Their Latest Commit
  2. [mihaimaruseac] (1555 commits) - Their Latest Commit
  3. [ezhulenev] (1463 commits) - Their Latest Commit

Number of commits: 160,988 commits

Latest commit

  • link to the commit: Latest commit

  • who made that commit: anshumang and tensorflower-gardener

  • what type of work was commited? (was it a fix to a bug, implementation of a new feature, ...) implementation of a feature

Issues

  • how many open issues are there: 1901 Open Issues

    • url for the last issue created: Last issue created

    • how many users discuss the issue: 1 person

    • when was the issue reported: 3/3/2024

  • how many closed issues are there: 36875 closed issues

    • url for the last issue closed: Last issue closed
    • how many users discussed the issue: 0 people
    • when was the issue reported: 3/3/2024 1 hour ago
    • when was the issue closed: 3/3/2024 1 hour ago
  • how active is the discussion on the issues:

  • are there issues marked "good for newbies", "beginner" or some other indicators that imply that they are good for beginner contributors: Yes

    • how many of such issues are there? 1 issue

    • look at a few of them, do they look beginner friendly? No it does not seem like theres a easy solution.

  • are there issues marked "documentation" or some other indicators that imply that they are documentation (user or developer specific): yes

    • how many of such issues are there? 30
    • look at a few of them, do you think you could submit a fix? yes I think I could

Pull requests

  • how many open pull requests are there: 169 pull requests

  • how many closed pull requests are there: 23549

    • url for the last pull request closed: Last Pull Request closed

    • how many users discussed the pull request: 2 users

    • when was the pull request made:
      2/29/2024

    • when was the pull request closed: 2/29/2024

  • do maintainers respond quickly to pull requests when they are opened? No a bot does.

Development Environment

Each member of your group should attempt to configure the development environemnt for this project. Complete the following for each member:

Name: Terrance Chen Operating system: MacOS Was the installation successful? (if not, explain what went wrong and what you did to try to remedy it) Yes How long did the whole process take? 30 mins


Summary assesment

How friendly is this project for beginner contributors? It is not very friendly. There are not much easy contributions and many open pull requests. It seems that contributing is rather difficult.

Do the maintainers respond helpfully to questions in issues? I think that when they respond it is helpful when answering questions. It seems to help the people that open issues. However because it is so large it seems that they have difficultly responding sometimes

Are people friendly in the issues, discussion forum, and chat (for example, IRC or Slack)? Yes they seem friendly in providing their input.

Do pull requests get reviewed? A lot does, but a lot of it is automated. I do think all pull requests do get reviewed

Do maintainers thank people for their contributions? Yes they do

Are there special skills required to contribute to the project? If so, what are they? I think to contribute to the codebase it is very selective, and they have many automated tests to see if they will accept the contributions: unit tests. It also seems the contributors all have a solid grasp on ML models

Are there any special hardware/software requirements to be able to contribute to the project? If so, what are they? I don't think so, but certain testing might be a bit difficult