The open-source observability platform everyone needs!
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Updated
Jun 11, 2024 - C
Data visualization is the visual depiction of data through the use of graphs, plots, and informational graphics. Its practitioners use statistics and data science to convey the meaning behind data in ethical and accurate ways.
The open-source observability platform everyone needs!
Simple data extract from the Strava API to generate some data points I'm interested in
Classifying Criminal Offenses: Classification Application in Python Using scikit-learn and TensorFlow-Keras
Python library and web service for Open Source Software Health and Sustainability metrics & data collection. You can find our documentation and new contributor information easily here: https://oss-augur.readthedocs.io/en/main/ and learn more about Augur at our website https://augurlabs.io
📊 Elastic Charts library
River data from Karup and Skjern å in Denmark
Explore audio and images with one line of code. Python plotting library for data visualisation.
Oregon State University's energy dashboard.
Simplify ggplot2 visualisation
Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn and TensorFlow-Keras
A collection of open source libraries and documentation for building robot platforms on Formant APIs 🤖 🚀 🧑🔬
Data Analysis Practice Repository
Apache Superset is a Data Visualization and Data Exploration Platform
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
The Modern Data Stack 🐰 — Directus is an instant REST+GraphQL API and intuitive no-code data collaboration app for any SQL database.
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
Interactive plotting library for .NET
Amazon sales analysis focused on analyzing an e-commerce dataset.
Created by Charles Joseph Minard