pygwalker
try
| pygwalker | try | |
|---|---|---|
| 22 | 12 | |
| 9,864 | 5,126 | |
| 4.5% | 0.7% | |
| 9.6 | 7.8 | |
| 4 days ago | 13 days ago | |
| Python | Shell | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pygwalker
- Show HN: Use an "eraser" to clean data on flight without breaking your workflow
- Show HN: Data Painter – different way to interact with data in Jupyter notebook
- PyGWalker: a Python library for data engineer that turns your dataframe into tableau-like data app.
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Top 10 growing data visualization libraries in Python in 2023
The most popular data visualization python library in 2023. It turns your dataframe into an interactive data exploration app like tableau/powerBI with one line of code. It provides simple drag-and-drop/chat interface for you to build charts. It can run in juypter notebook, which means you do not need to switch between your code and the visualization app. Besides, you can also build interactive spitial visualization on maps with it. And it also has Javascript and R version.
- Boost pygwalker's speed for visual analysis with duckDB
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Turn your data frame into a tableau-style interactive visualization interface in R
GWalkR is the R binding of Graphic-Walker, if you want to use it in python, check the python version: PyGWalker: https://github.com/Kanaries/pygwalker
- FLaNK Stack Weekly on 26 June 2023
- A blocky based CAD program
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Show HN: RATH – Open-Source Copilot and Autopilot for Data Analysis
+ Graphic Walker (https://github.com/Kanaries/graphic-walker): A lite embeddable component for visual analysis.
+ PyGWalker (https://github.com/Kanaries/pygwalker): turning your pandas dataframe into a Tableau-style User Interface for visual exploration.
RATH is a collection of interesting ideas that we think the next generation of data analysis software should be, so there might be many features that not well organized to be a united app. Tell me which feature you prefer and which is not. Looking forward for your ideas and advice.
- Converting a huge CSV file into a custom made table
try
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Command Line Interface Guidelines
"try" is not a prefix (like watch, nice, etc) uses an overlayfs in order to be able to see and accept or reject changes to your filesystem from a command
https://github.com/binpash/try
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Show HN: Shelly: Write Terminal Commands in English
For any shell command where a minor mistake has the potential of ruining your day, take a look at “try”, which will allow you to inspect the effects before running it against a live system: https://github.com/binpash/try
- Try
- FLaNK Stack Weekly on 26 June 2023
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Do, or do not. There is no try
he is not running a container, he is mounting an overlay file system for each root directory on the current system, then looking at what has been added as a new layer - that's what the command is supposed to add to the running system.
Pure genius.
See https://github.com/binpash/try/blob/b2df6b650cb2b58951563174...
- Do or do not. There is no try
- try: Run commands and inspect their impact before changing your live system
- Binpash/Try
What are some alternatives?
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
ai - Build AI-powered applications with React, Svelte, Vue, and Solid
Rath - Next generation of automated data exploratory analysis and visualization platform.
top-cvpr-2023-papers - This repository is a curated collection of the most exciting and influential CVPR 2023 papers. 🔥 [Paper + Code]
graphic-walker - An open source alternative to Tableau. Embeddable visual analytic
firejail - Linux namespaces and seccomp-bpf sandbox
RasgoQL - Write python locally, execute SQL in your data warehouse
ccat - Colorizing `cat`
devpod - Codespaces but open-source, client-only and unopinionated: Works with any IDE and lets you use any cloud, kubernetes or just localhost docker.
FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...
MmFLaNK - Mm FLaNK Stack (MXNet, MiNiFi, Flink, NiFi, Kafka, Kudu) for AI-IoT