No project description provided
Project description
An open source project from Data to AI Lab at MIT.
meissa
- Documentation: https://sintel-dev.github.io/Meissa
- Homepage: https://github.com/sintel-dev/Meissa
Overview
TODO: Provide a short overview of the project here.
Install
Requirements
meissa has been developed and tested on Python 3.8, 3.9, 3.10 and 3.11
Also, although it is not strictly required, the usage of a virtualenv is highly recommended in order to avoid interfering with other software installed in the system in which meissa is run.
These are the minimum commands needed to create a virtualenv using python3.8 for meissa:
pip install virtualenv
virtualenv -p $(which python3.6) Meissa-venv
Afterwards, you have to execute this command to activate the virtualenv:
source Meissa-venv/bin/activate
Remember to execute it every time you start a new console to work on meissa!
Install from source
With your virtualenv activated, you can clone the repository and install it from
source by running make install
on the stable
branch:
git clone git@github.com:sintel-dev/Meissa.git
cd Meissa
git checkout stable
make install
Install for Development
If you want to contribute to the project, a few more steps are required to make the project ready for development.
Please head to the Contributing Guide for more details about this process.
Quickstart
In this short tutorial we will guide you through a series of steps that will help you getting started with meissa.
TODO: Create a step by step guide here.
What's next?
For more details about meissa and all its possibilities and features, please check the documentation site.
History
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file meissa-0.0.1.dev0.tar.gz
.
File metadata
- Download URL: meissa-0.0.1.dev0.tar.gz
- Upload date:
- Size: 48.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0eeb136f6cfdd85be4ebe59258474049833904c29693f538ce71103b5a7a0800 |
|
MD5 | 19ec9d3fdd7a387ec2725de25cbfeda0 |
|
BLAKE2b-256 | a798995dc2dd49e52270dd134f7e2ba1eee85b1edf5636724b49c17236d8d181 |
File details
Details for the file meissa-0.0.1.dev0-py2.py3-none-any.whl
.
File metadata
- Download URL: meissa-0.0.1.dev0-py2.py3-none-any.whl
- Upload date:
- Size: 5.3 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e5efb4aa3801d87bb1abed7291bdd5e40d03dd441affc9e4e3d2195fd85e4ddb |
|
MD5 | 28e2c8c61d158d301f5e92e37739a3ea |
|
BLAKE2b-256 | 52dc70a6b04ea30612d5c75fdb5bbe8c1875d3a84854ee08fca02414b6b44f7a |