Open sgoggins opened 2 years ago
hlo! I would like to contribute to this project, can you please help me out with how can I reach up to you?
@thesakshidiggikar : The fastest way is to look over our participation documentation, and making comments here. You can also join the CHAOSS community Slack Channel: https://join.slack.com/t/chaoss-workspace/shared_invite/zt-r65szij9-QajX59hkZUct82b0uACA6g
@sgoggins I joined slack too. but don't know how to contribute to this project, But I wanted to contribute, Do I have to mail a Proposal or Do I have to solve a microtask plz. I'm just 1 one away from my dream project can you plz guide me plz?
I think I'm done with this local set up I guess.....if anything I might do wrong plz help me sir @sgoggins
@thesakshidiggikar : The key with Windows is to use the Ubuntu subsystem. It does not work exactly the same as a real Ubuntu system, but it has less of the issues associated with Windows.
I'm facing a problem while installing augur while going through the documentation. So can you plz help me out ....plz
I am unable to resolve this error @sgoggins How to alter the permissions without using sudo. I tried changing permissions of directory augur to 777 which didn't help.
after installing go it states that "Interacting with snapd is not yet supported on Windows Subsystem for Linux.
This command has been left available for documentation purposes only. " @sgoggins
@sgoggins make rebuild-dev gives this python error, I'm not able to move further, Please help.
@sgoggins sir what will be the next step after this?
IDEA: Open Source Software Health Metrics Visualization Exploration
The CHAOSS Community currently delivers pre-packaged visualizations of open source software health data through Augur APIs (https://github.com/chaoss/augur/blob/main/augur/routes/pull_request_reports.py and https://github.com/chaoss/augur/blob/main/augur/routes/contributor_reports.py), and the https://github.com/chaoss/augur-community-reports repository. This project seeks to expand, refine, and standardize the visualization of different classes of community health metrics data. Specifically, some analyses are temporal, others are anomaly driven, and in some cases, contrasts across repositories and communities are required. In each case, the visualization of data is an essential component for metrics, and what we are now referring to as metrics models (https://github.com/chaoss/wg-metrics-models).
The aims of the project are as follows:
Microtasks
For becoming familiar with Augur, you can start by reading some documentation. You can find useful information at in the links, below. Grimoirelab also has a set of installation instructions and documentation here: https://chaoss.github.io/grimoirelab-tutorial/
Once you're familiar with Augur, you can have a look at the following microtasks.
Microtask 0:
Download and configure Augur, creating a dev environment using the general cautions noted here:
Microstask 1: Work on any Augur or Grimoirelab Issue that's Open
Microtask 2: Identify new issues you encounter during installation.
Microstask 3: Explore data presently captured, develop an experimental visualization using tools of your choice. If Jupyter Notebooks against an Augur database/API endpoint collection, use https://github.com/chaoss/augur-community-reports for development.
Microtask 4: Anything you want to show us. Even if you find bugs in our documentation and want to issue a PR for those!