quetz | The Open-Source Server for Conda Packages
kandi X-RAY | quetz Summary
kandi X-RAY | quetz Summary
quetz is a Python library. quetz has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install quetz' or download it from GitHub, PyPI.
The quetz project is an open source server for conda packages. It is built upon FastAPI with an API-first approach. A quetz server can have many users, channels and packages. With quetz, fine-grained permissions on channel and package-name level will be possible. Quetz has an optional client quetz-client that can be used to upload packages to a quetz server instance.
The quetz project is an open source server for conda packages. It is built upon FastAPI with an API-first approach. A quetz server can have many users, channels and packages. With quetz, fine-grained permissions on channel and package-name level will be possible. Quetz has an optional client quetz-client that can be used to upload packages to a quetz server instance.
Support
Quality
Security
License
Reuse
Support
quetz has a low active ecosystem.
It has 221 star(s) with 58 fork(s). There are 17 watchers for this library.
It had no major release in the last 12 months.
There are 63 open issues and 108 have been closed. On average issues are closed in 94 days. There are 8 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of quetz is v0.9.0
Quality
quetz has 0 bugs and 0 code smells.
Security
quetz has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
quetz code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
quetz is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
quetz releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
It has 17925 lines of code, 1114 functions and 199 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed quetz and discovered the below as its top functions. This is intended to give you an instant insight into quetz implemented functionality, and help decide if they suit your requirements.
- Upload package files .
- Initial synchronization .
- Execute a channel action .
- Create a new version .
- Wrap a job wrapper .
- Generate index file for channel .
- Create a new deployment .
- Create a new channel .
- Validate the uploaded package .
- Fill test database .
Get all kandi verified functions for this library.
quetz Key Features
No Key Features are available at this moment for quetz.
quetz Examples and Code Snippets
No Code Snippets are available at this moment for quetz.
Community Discussions
No Community Discussions are available at this moment for quetz.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install quetz
You can install using 'pip install quetz' or download it from GitHub, PyPI.
You can use quetz like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use quetz like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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