conda-buildpack | Buildpack for Conda | Code Editor library

by heroku-python Shell Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | conda-buildpack Summary

conda-buildpack is a Shell library typically used in Editor, Code Editor, Jupyter applications. conda-buildpack has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This is a [Heroku Buildpack] for [Conda] the Python distribution for scientific computing by Continuum Analytics. This buildpack enables the installation of binary packages through the open source [conda] application. Conda is recognized as being core to Continuum’s Anaconda Scientific Python distro but it’s also at the heart of the lighter weight [Miniconda] distro which we use here to install only the binary packages we need for our apps deployed on Heroku. To control what binary packages are installed by conda, supply a conda-requirements.txt file (which can be created by capturing the output of conda list -e for your working conda environment). Like when using the standard buildpack for python from Heroku, you can also still supply a requirements.txt file for [pip] to process. In this way, you can install binary packages via conda for everything you can and still use pip for anything you can’t. Usage.

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Support

conda-buildpack has a low active ecosystem.

It has 161 star(s) with 254 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 9 open issues and 14 have been closed. On average issues are closed in 265 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of conda-buildpack is current.

Quality

conda-buildpack has 0 bugs and 0 code smells.

Security

conda-buildpack has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

conda-buildpack code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

conda-buildpack is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

conda-buildpack releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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conda-buildpack Key Features

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conda-buildpack Examples and Code Snippets

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Community Discussions

Trending Discussions on conda-buildpack

"no such option: --allow-all-external" when deploying a Django app to Heroku with Anaconda

Setting up Python Conda Environment in Heroku

Deploy a Python (Dash) app to Heroku using Conda environments (instead of virtualenv)

QUESTION

"no such option: --allow-all-external" when deploying a Django app to Heroku with Anaconda

Asked 2019-Aug-18 at 16:16

I use Django 1.11.20 and Python 2.7. My app is deployed with Heroku.

As I need NumPy / SciPy and Heroku has a slug size limited to 500Mb, I am using Anaconda through the three following Heroku buildpacks:

https://github.com/kennethreitz/conda-buildpack
https://github.com/cyberdelia/heroku-geo-buildpack.git
heroku/python

The site has been working perfectly for the last year and hadn't been updated it for a few months.

I made some minor changes to the site recently and I got the following error when deploying it to Heroku.

I don't understand what is the issue exactly.

Any clue?

...

ANSWER

Answered 2019-Aug-18 at 16:14

You're using pip version 19.1.1, which is fairly recent.

I don't know what version you were using before, but the --allow-all-external option was deprecated in pip version 8.0 (released in January, 2016) and removed in pip 10.0 (released in early 2018).

Either update your application so it doesn't need --allow-all-external (the better option) or, if you absolutely must, use a pip older than 8.0. I strongly advise against this last option considering how long ago 8.0 was released.

Source https://stackoverflow.com/questions/57546079

QUESTION

Setting up Python Conda Environment in Heroku

Asked 2019-Jun-29 at 16:07

Background

I created a heroku instance in my project directory using the guide here for a conda environment: conda-buildpack

Error ...

ANSWER

Answered 2019-Mar-10 at 18:01

It appears Python3 is not supported with this buildpack: https://github.com/heroku-python/conda-buildpack/issues/14

However, other third-party buildpacks exist that appear to support Python3: https://elements.heroku.com/buildpacks/trib3/conda-buildpack https://elements.heroku.com/buildpacks/teamupstart/conda-buildpack

Maybe: https://github.com/pl31/heroku-buildpack-conda

Source https://stackoverflow.com/questions/55084111

QUESTION

Deploy a Python (Dash) app to Heroku using Conda environments (instead of virtualenv)

Asked 2019-Jun-05 at 18:29

When I run git push heroku master to deploy my app to Heroku I keep getting errors

Heroku Push rejected, failed to compile Python app. Could not find a version that satisfies the requirement

The problem was that the requirements.txt file I made with

...

ANSWER

Answered 2019-Jun-05 at 18:29

Heroku doesn't care if you're using virtualenv or conda to manage environments. Using one or the other is mostly irrelevant to the deployment process.

Don't bother with the Conda Environment Buildpack instructions since those are for deploying a remote conda environment which is not what you are trying to do. You, my friend, are trying to deploy a remote your_app environment.

Here's how to do that with a dash application and conda: Create a new folder for your project:

Source https://stackoverflow.com/questions/47949173

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install conda-buildpack

You can download it from GitHub.

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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