1,153 skills found · Page 1 of 39
recharts / RechartsRedefined chart library built with React and D3
matomo-org / MatomoEmpowering People Ethically 🚀 — Matomo is hiring! Join us → https://matomo.org/jobs Matomo is the leading open-source alternative to Google Analytics, giving you complete control and built-in privacy. Easily collect, visualise, and analyse data from websites & apps. Star us on GitHub ⭐️ – Pull Requests welcome!
bokeh / BokehInteractive Data Visualization in the browser, from Python
antvis / F2📱📈An elegant, interactive and flexible charting library for mobile.
tidyverse / Ggplot2An implementation of the Grammar of Graphics in R
IAmTomShaw / F1 Race ReplayAn interactive Formula 1 race visualisation and data analysis tool built with Python! 🏎️
lana-k / SqlitevizInstant offline SQL-powered data visualisation in your browser
perses / PersesThe CNCF sandbox for observability visualisation. Already supports Prometheus, Tempo, Loki and Pyroscope - more data sources to come!
openremote / Openremote100% open-source IoT Platform - Integrate your devices, create rules, and analyse and visualise your data
github / Covid19 DashboardA site that displays up to date COVID-19 stats, powered by fastpages.
chrispsn / MeshOld version. Visualise data and edit JavaScript code using a spreadsheet interface.
jrnold / GgthemesAdditional themes, scales, and geoms for ggplot2
emoncms / EmoncmsWeb-app for processing, logging and visualising energy, temperature and other environmental data
hubert3 / ISniff GPSPassive sniffing tool for capturing and visualising WiFi location data disclosed by iOS devices
chartshq / MuzeComposable data visualisation library for web with a data-first approach now powered by WebAssembly
misoproject / DatasetJavaScript library that makes managing the data behind client-side visualisations easy
davecheney / GcvisVisualise Go program GC trace data in real time
RainCloudPlots / RainCloudPlotsCode and tutorials to visualise your data that is both beautiful *and* statistically valid
rgerum / PylustratorVisualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have different formats and shapes, the visualisations often have to be adapted to reflect the data as well as possible. We developed Pylustrator, an interface to directly edit python generated matplotlib graphs to finalize them for publication. Therefore, subplots can be resized and dragged around by the mouse, text and annotations can be added. The changes can be saved to the initial plot file as python code.
erikaduan / R TipsR programming tips for data cleaning, data visualisation, statistical modelling and machine learning
