sqliteviz
dtale
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sqliteviz | dtale | |
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10 | 46 | |
1,889 | 4,550 | |
- | 2.2% | |
7.7 | 8.1 | |
4 months ago | 3 days ago | |
JavaScript | TypeScript | |
Apache License 2.0 | GNU Lesser General Public License v3.0 only |
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.
sqliteviz
- SQLite Db Admin in the Browser
- Sqlite3 Utility on the Browser
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Best apps for transitioning from Spreadsheets to SQLite?
Regarding visualization tools, sqliteviz has proven to be the best I've found so far. Their web app runs locally but has some trackers, so I run it locally via a simple, static HTTP server. Falcon and Redash seem like overkill for my needs.
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Ask HN: What do you use for basic data analysis, visuals, and graphing?
If I'm not trying to build a very specific graph or chart, and just exploring data I usually use either Rawgraphs or Sqliteviz. Rawgraphs is nice if you just want to swap visualizations out with smaller data as is, sqliteviz seems to handle much larger datasets and let's you use SQL if you want to change the resultset. Both seem to keep data local too and I know sqliteviz works offline, rawgraphs might too.
https://www.rawgraphs.io/
https://sqliteviz.com/
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Awesome SQLite
sqliteviz - Instant offline SQL-powered data visualisation in your browser
- A fast SQLite PWA notebook for CSV files
- A stab at pivot/BI visualization in SQL-based offline-first PWA
- Sqliteviz is a single-page offline-first web app for fully client-side visualisation of SQLite databases or CSV files
- Offline-First PWA for Plotly Visualization of CSV via SQLite
dtale
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The free pandas visualizer, D-Tale, has now been integrated with ArcticDB which will allow users to load huge datasets and easily navigate their databases
[D-Tale](https://github.com/man-group/dtale) has recently released version 3.2.0 on pypi & conda-forge: ``` pip install -U dtale conda install dtale -c conda-forge ``` But if you want to take it one step further you can now integrate it with [ArcticDB](https://github.com/man-group/ArcticDB): ``` pip install -U dtale[arcticdb] ``` This allows you the ability to navigate your libraries of datasets saved to your ArcticDB database! But the best part is that all the reads are occuring directly against ArcticDB so some of the memory constraints you may have been hit with before are now a thing of the past. Here's a full write up how to use this functionality along with a quick demo: https://github.com/man-group/dtale/blob/master/docs/arcticdb/ARCTICDB\_INTEGRATION.md Hope this helps & please support open-source by throwing your star on the [repo](https://github.com/man-group/dtale). Thanks! ๐
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Data Scientists using neovim: how do you explore dataframes?
I've looked into external tooling, libs such as dtale, which feel overly complicated for my use case (but I'm open to alternatives). What I would like to have instead is something akin to Spyder's variable viewer, which allows sorting by column. VSCode goes a step further and also provides the ability to filter the dataframe.
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I need help lol
D-Tale: A Python library that provides an interactive web-based interface for data exploration and analysis.
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Something better than pandas? with interactive graphical UI?
Try this: https://github.com/man-group/dtale
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Mito โ Excel-like interface for Pandas dataframes in Jupyter notebook
https://github.com/man-group/dtale
I find that I'm actually a lot faster using basic Pandas methods to get the data I want in exactly the form I want it.
If I really want to show everything, I just use:
'''
- Memray is a memory profiler for Python by Bloomberg
- Show HN: D-Tale, easy to use pandas GUI
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Added visualizations of statsmodels time series analysis functions to the free pandas visualizer, D-Tale
Just added "Time Series Analysis" in v1.60.1 of D-Tale on pypi & conda-forge: pip install -U dtale conda install dtale -c conda-forge This feature provides a quick and easy way to visualize the usage of the following time series analysis function in statsmodels:
- Show HN: Open-source pandas dataframe visualizer
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For all the python/pandas users out there I just released a bunch of UI updates to the free visualizer, D-Tale
Your data is stored in memory so the size of your dataframe is limited to the memory of your machine. That being said weโve allowed users to swap out the machanism which stores the data so you can use something like Redis or Shelve to allieviate memory. Hereโs some documentation: https://github.com/man-group/dtale/blob/master/docs/GLOBAL_STATE.md
What are some alternatives?
sqlite-utils - Python CLI utility and library for manipulating SQLite databases
PandasGUI - A GUI for Pandas DataFrames
Tablesaw - Java dataframe and visualization library
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
falcon - Free, open-source SQL client for Windows and Mac ๐ฆ
jupyterlab-autoplot - Magical Plotting in JupyterLab
sqlite-plus - The ultimate set of SQLite extensions
pandastable - Table analysis in Tkinter using pandas DataFrames.
chorus - Clone Hero-friendly Organized Repository of User-provided Songs
best-of-ml-python - ๐ A ranked list of awesome machine learning Python libraries. Updated weekly.
Vizzu - Library for animated data visualizations and data stories.
dtale-desktop - Build a data visualization dashboard with simple snippets of python code