We’re excited to announce our new partnership with the NumFOCUS Foundation! As Official Metrics Partner, the goal is to provide community metrics and insights to all NumFOCUS projects. Anaconda sponsors this partnership.
In this blog post, we want to share about this partnership, its launch at the NumFOCUS Summit, and what you can expect from this joint work.
Introducing the NumFOCUS Foundation
The mission of NumFOCUS is to promote open practices in research, data, and scientific computing by serving as a fiscal sponsor for open source projects and organizing community-driven educational programs.
In fact, to reach its vision and mission, NumFOCUS provides stewardship to its projects. By partnering with Bitergia to provide community metrics, NumFOCUS and Anaconda allow projects to understand their community health better. To build a healthy and sustainable communities, the community metrics can help make decisions and also track the impact on the community.
NumFOCUS Summit ‘22
On September 21-23, in Santa Rosa, California, Bitergia will be part of the NumFOCUS Summit 2022. NumFOCUS plans Sessions about Project Sustainability & Resiliency, Programs and Services, Diversity & Inclusion topics, a project introduction, and more!
Overall, the Summit brings project representatives together to strengthen the NumFOCUS project network. Two full days of open collaboration will allow projects to focus on sustainability strategies.
And our Bitergian Georg Link we’ll be there, connect with him to meet at the summit!
Metrics and Dashboards for NumFOCUS projects – powered by Bitergia
NumFOCUS have over 100 sponsored and affiliated projects. The goal for the next 2 years is to provide community metrics for all of these projects. This is a lot. As a first step, NumFOCUS and Bitergia identified 9 projects as early adopters. These early adopting projects are set up on a shared dashboard and can start to see metrics about their communities.
Therefore, we are now discussing between these projects, NumFOCUS, and Bitergia about the specific setup of the dashboard. The goal is to identify which metrics and insights make sense for these NumFOCUS projects. We may build out custom dashboards and visualizations that can then be used by other NumFOCUS projects.
During the upcoming NumFOCUS Project Summit, Bitergia will be there to review the projects on the dashboard. The 9 projects that are part of the pilot project include:
ArviZ is an open source project aiming to provide tools for the Exploratory Analysis of Bayesian Models that do not depend on the inference library used.
MDAnalysis is a Python library for the analysis of computer simulations of many-body systems at the molecular scale, spanning use cases from interactions of drugs with proteins to novel materials. It is widely used in the scientific community and is written by scientists for scientists.
mlpack is a fast, flexible machine learning library suitable for both data science prototyping and deployment.
NumPy is a universal data structure that fundamentally enables data analysis in numerical computing by permitting the exchange of data between algorithms. NumPy is a foundational project for the Python scientific computing stack.
pandas is a data wrangling platform for Python widely adopted in the scientific computing community. pandas provide easy-to-use data ingestion, transformation, and export functions.
PyMC is a Python-based statistical modeling tool for Bayesian statistical modeling and Probabilistic Machine Learning which focuses on advanced Markov chain Monte Carlo and variational fitting algorithms.
scikit–learn is a Python library for machine learning, and is one of the most widely used tools for supervised and unsupervised machine learning. Scikit–learn provides an easy-to-use, consistent interface to a large collection of machine learning models, as well as tools for model evaluation and data preparation.
SciML is an open source software organization created to unify the packages for scientific machine learning. This includes the development of modular scientific simulation support software. They provide a modular, easily-extendable, and highly performant ecosystem for handling a wide variety of scientific simulations.
SunPy is a Python-based software library that provides tools for performing research using direct observations of the Sun and Heliosphere.
Thus, we look forward to exploring, what insights we can gain together about these projects. We’ll make sure to share these insights. As the new Official Metrics Partner, we plan to expand the community metrics dashboard to more NumFOCUS projects.
Final details for the summit are still in the works. So, connect with us in our Twitter to have the latest news about the summit and Bitergia being part. See you there!
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