visidata
vaex
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| visidata | vaex | |
|---|---|---|
| 36 | 7 | |
| 7,416 | 8,171 | |
| - | 0.4% | |
| 9.8 | 5.4 | |
| 2 days ago | 23 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | 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.
visidata
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Fx – Terminal JSON Viewer
[4] "Is it possible to "flatten" structured data (like JSON?)": https://github.com/saulpw/visidata/discussions/1605
- jq 1.7 Released
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Mapping LA's Soft-Story Building Earthquake Retrofit Program [OC]
Visidata - https://visidata.org
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SQLite interface(s) for creating complex queries with a table that has 68 million rows?
You can try Visidata
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Terminal Based Programs?
VisiData is an awesome terminal spreadsheet tool. edbrowse for internet browsing.
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Plugin for pretty rendering of data?
Have you ever tried out visidata? It's not vim, but it's a terminal app with vim-like keybindings for visualizing tabular data (and it can convert from other types like json). Not quite a neovim buffer, but you could always open visidata in a new terminal buffer.
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Ask HN: I'm looking for some new spreadsheet software what are people using?
If you are a command-line user, try visidata[0]
[0] https://github.com/saulpw/visidata
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Hanukkah of Data: Advent of Code for Data Nerds
The datasets will be available as SQLite, JSONL, and CSV. This will be great for sharpening your SQL/Python/VisiData skills.
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Hanukkah of Data: Advent of Code for Data Enthusiasts
Help Sarah find the family holiday tapestry before her father notices it's missing! Sharpen your SQL/Python/VisiData skills with Hanukkah of Data.
- Visidata - work with CSV / SQLlite / xls and other data files from the CLI
vaex
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preprocessing millions of records - how to speed up the processing
Try vaex, vaex, using lazy evaluation and parallel calculations, you should be fine.
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High performance (for the consumer) time series storage?
I'd recommend QuestDB. Worked with it multiple times for different algorithmic trading needs and it didn't disappoint. If you want to load data fast, I'd recommend this Python library.
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Python Pandas vs Dask for csv file reading
How about vaex?
- Polars: Lightning-fast DataFrame library for Rust and Python
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For stocks, what historical data do you store and how do you store it?
You might find vaex (https://github.com/vaexio/vaex) interesting if you work with HDF5.
- I wrote one of the fastest DataFrame libraries
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A Hybrid Apache Arrow/Numpy DataFrame with Vaex Version 4.0
My guess is that should be possible, feel free to hop onto https://github.com/vaexio/vaex/discussions !
What are some alternatives?
sc-im - sc-im - Spreadsheet Calculator Improvised -- An ncurses spreadsheet program for terminal
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
data.table - R's data.table package extends data.frame:
sqlite-tui - A TUI for viewing and editing database files. [Moved to: https://github.com/mathaou/termdbms]
minimal-pandas-api-for-polars - pip install minimal-pandas-api-for-polars
tidy-viewer - 📺(tv) Tidy Viewer is a cross-platform CLI csv pretty printer that uses column styling to maximize viewer enjoyment.
rust-dataframe - A Rust DataFrame implementation, built on Apache Arrow
OpenRefine - OpenRefine is a free, open source power tool for working with messy data and improving it
umap - Uniform Manifold Approximation and Projection
exa - A modern replacement for ‘ls’.
db-benchmark - reproducible benchmark of database-like ops