🔄 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/1101
**Author:** [@jcupitt](https://github.com/jcupitt)
**Created:** 8/4/2018
**Status:** ❌ Closed
**Base:** `master` ← **Head:** `add-pyvips`
---
### 📝 Commits (3)
- [`93c18d4`](https://github.com/vinta/awesome-python/commit/93c18d44f630030b4e23f180a6becea2cdb235d0) add pyvips
- [`7a89993`](https://github.com/vinta/awesome-python/commit/7a89993e8fac796c8d66edf839604491c1896553) update URL
- [`32facd2`](https://github.com/vinta/awesome-python/commit/32facd21149afbfaa6a37ed96a9f1178b3b9b314) insert pyvips alphabetically
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
[pyvips](https://github.com/libvips/pyvips) is a binding for the [libvips image processing library](https://libvips.github.io/libvips/). It's fast and only needs a little memory.
For example, on this benchmark:
https://github.com/libvips/libvips/wiki/Speed-and-memory-use
It's 5x faster than ImageMagick and needs 10x less memory.
pyvips works on all python versions on all platforms, is LGPL, can be [simply installed with pip](https://pypi.org/project/pyvips/), has [complete documentation](https://libvips.github.io/pyvips), has a large test suite, and has no known memory leaks.
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
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📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/1101
Author: @jcupitt
Created: 8/4/2018
Status: ❌ Closed
Base:
master← Head:add-pyvips📝 Commits (3)
93c18d4add pyvips7a89993update URL32facd2insert pyvips alphabetically📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
pyvips is a binding for the libvips image processing library. It's fast and only needs a little memory.
For example, on this benchmark:
https://github.com/libvips/libvips/wiki/Speed-and-memory-use
It's 5x faster than ImageMagick and needs 10x less memory.
pyvips works on all python versions on all platforms, is LGPL, can be simply installed with pip, has complete documentation, has a large test suite, and has no known memory leaks.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.