Top 5 Python open-science Projects

pyvista

1 2,353 9.8 Python

3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)
opendata.cern.ch

13 635 9.3 Python

Source code for the CERN Open Data portal

Project mention: Observable 2.0, a static site generator for data apps | news.ycombinator.com | 2024-02-15

I think the idea of Framework is really good, but static data limits the applications, excluding monitoring and other cases in which the data is constantly changing, but the dashboard can stay as it is. For example, I'd love to see a revamped Framework version of the LHC beam monitor and related pages (see https://op-webtools.web.cern.ch/vistar/, but check again in 2 months or so, when the accelerator will be running).
In high-energy physics, ROOT is /the/ toolkit for data analysis, and I guess jsROOT (https://root.cern.ch/js/) could also be used to load data to be shown in Framework dashboards. I thought the idea of Framework as a blogging engine with powerful data visualization built-in could be very interesting. Think, for example, about physicists pulling open data (https://opendata.cern.ch) and writing about their analysis or someone pulling data from https://ourworldindata.org/ in their own visualizations to support their case while writing about a particular subject, etc.

InfluxDB

www.influxdata.com sponsored

Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
pycbc

1 294 9.3 Python

Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the ongoing analysis of LIGO/Virgo data.
itk-wasm

5 177 9.8 Python

High performance spatial analysis in a web browser, Node.js, and across programming languages and hardware architectures
arco-era5

5 175 5.9 Python

Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.

Project mention: Loading a trillion rows of weather data into TimescaleDB | news.ycombinator.com | 2024-04-16

Why?
Most weather and climate datasets - including ERA5 - are highly structured on regular latitude-longitude grids. Even if you were solely doing timeseries analyses for specific locations plucked from this grid, the strength of this sort of dataset is its intrinsic spatiotemporal structure and context, and it makes very little sense to completely destroy the dataset's structure unless you were solely and exclusively to extract point timeseries. And even then, you'd probably want to decimate the data pretty dramatically, since there is very little use case for, say, a point timeseries of surface temperature in the middle of the ocean!
The vast majority of research and operational applications of datasets like ERA5 are probably better suited by leveraging cloud-optimized replicas of the original dataset, such as ARCO-ERA5 published on the Google Public Datasets program [1]. These versions of the dataset preserve the original structure, and chunk it in ways that are amenable to massively parallel access via cloud storage. In almost any case I've encountered in my career, a generically chunked Zarr-based archive of a dataset like this will be more than performant enough for the majority of use cases that one might care about.
[1]: https://cloud.google.com/storage/docs/public-datasets/era5

WorkOS

workos.com sponsored

The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).