Skip to main content

No project description provided

Project description

“DAI-Lab” An open source project from Data to AI Lab at MIT.

Github Actions Shield Coverage Status

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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

meissa-0.0.1.dev0.tar.gz (48.1 kB view details)

Uploaded Source

Built Distribution

meissa-0.0.1.dev0-py2.py3-none-any.whl (5.3 kB view details)

Uploaded Python 2 Python 3

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

Hashes for meissa-0.0.1.dev0.tar.gz
Algorithm Hash digest
SHA256 0eeb136f6cfdd85be4ebe59258474049833904c29693f538ce71103b5a7a0800
MD5 19ec9d3fdd7a387ec2725de25cbfeda0
BLAKE2b-256 a798995dc2dd49e52270dd134f7e2ba1eee85b1edf5636724b49c17236d8d181

See more details on using hashes here.

Provenance

File details

Details for the file meissa-0.0.1.dev0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for meissa-0.0.1.dev0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 e5efb4aa3801d87bb1abed7291bdd5e40d03dd441affc9e4e3d2195fd85e4ddb
MD5 28e2c8c61d158d301f5e92e37739a3ea
BLAKE2b-256 52dc70a6b04ea30612d5c75fdb5bbe8c1875d3a84854ee08fca02414b6b44f7a

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page