A pure Python CLI to view projects' download statistics. The supported fields are: project, version, pyversion, percent3, percent2, impl, impl-version, openssl, date, month, year, country, installer, installer-version, setuptools-version, system, system-release, distro, distro-version, and cpu. You can specify how many days in the past to consider or supply a custom date range. Custom ordering and where clauses are also supported.
Both are GPL'd unfortunately while PyPInfo is licensed under MIT.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.
## 📋 Pull Request Information
**Original PR:** https://github.com/vinta/awesome-python/pull/918
**Author:** [@ofek](https://github.com/ofek)
**Created:** 8/24/2017
**Status:** ❌ Closed
**Base:** `master` ← **Head:** `patch-1`
---
### 📝 Commits (1)
- [`1c90ab3`](https://github.com/vinta/awesome-python/commit/1c90ab30c35f5478c5b49b85828419fd940cc701) add PyPInfo
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
@vinta
## What is this Python project?
A pure Python CLI to view projects' download statistics. The supported fields are: project, version, pyversion, percent3, percent2, impl, impl-version, openssl, date, month, year, country, installer, installer-version, setuptools-version, system, system-release, distro, distro-version, and cpu. You can specify how many days in the past to consider or supply a custom date range. Custom ordering and where clauses are also supported.
Examples: https://github.com/ofek/pypinfo#usage
## What's the difference between this Python project and similar ones?
https://pypi.python.org/pypi/vanity
This uses an outdated (and not guaranteed to work) method of collecting statistics (by scraping PyPI). Also, it can only get the download counts.
https://pypi.python.org/pypi/pypi-download-stats
This requires users to write their own queries. It depends on a deprecated library to interface with BigQuery https://github.com/google/google-api-python-client/#library-maintenance. Also, the package depends on https://github.com/bokeh/bokeh which requires a complicated installation of NumPy and its scientific libs, and Tornado and its web server.
Both are GPL'd unfortunately while PyPInfo is licensed under MIT.
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/918
Author: @ofek
Created: 8/24/2017
Status: ❌ Closed
Base:
master← Head:patch-1📝 Commits (1)
1c90ab3add PyPInfo📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
@vinta
What is this Python project?
A pure Python CLI to view projects' download statistics. The supported fields are: project, version, pyversion, percent3, percent2, impl, impl-version, openssl, date, month, year, country, installer, installer-version, setuptools-version, system, system-release, distro, distro-version, and cpu. You can specify how many days in the past to consider or supply a custom date range. Custom ordering and where clauses are also supported.
Examples: https://github.com/ofek/pypinfo#usage
What's the difference between this Python project and similar ones?
https://pypi.python.org/pypi/vanity
This uses an outdated (and not guaranteed to work) method of collecting statistics (by scraping PyPI). Also, it can only get the download counts.
https://pypi.python.org/pypi/pypi-download-stats
This requires users to write their own queries. It depends on a deprecated library to interface with BigQuery https://github.com/google/google-api-python-client/#library-maintenance. Also, the package depends on https://github.com/bokeh/bokeh which requires a complicated installation of NumPy and its scientific libs, and Tornado and its web server.
Both are GPL'd unfortunately while PyPInfo is licensed under MIT.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.