sqlitestudio
modin
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| sqlitestudio | modin | |
|---|---|---|
| 41 | 11 | |
| 4,195 | 9,465 | |
| - | 1.2% | |
| 9.2 | 9.6 | |
| 11 days ago | 1 day ago | |
| C | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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.
sqlitestudio
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C# program not able to open or connect to an encrypted SQLite Database
DB4S provides only one algorithm based on official SQLite cipher. You can encrypt your database with another in SQLiteStudio or sqlite-gui (I'm an author). Both applications use SQLite3 Multiple Ciphers-library.
- Lightweight SQLite Editor for Windows
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What if Joplin disappears?
SQLiteStudio is my favourite - https://sqlitestudio.pl/
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SQLite interface(s) for creating complex queries with a table that has 68 million rows?
The most popular apps areDB4S and SQLiteStudio. If you are planning to run long time queries, then you might encounter with problems by running them in parallel in these tools. To run several queries in a real parallel mode you can use Navicat for SQLite or my sqlite-gui.
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Utility to create a database for TTRPG content entries?
If you are up to learn SQL queries, I would suggest using SQLite. It stores all information in a single file. You even can use https://sqlitestudio.pl solution so it can be a little more visual.
- Is there a way to update sqlite3 version within python? (windows)
- Python projects with best practices on Github?
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No/Low Code sqlite Front End GUI/Forms
DB Browser for SQLite and SQLiteStudio both exists, not sure if this is what you are looking for.
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I just want to edit. Which tool should I use?
Perhaps the simplest, for your case, would be a tool made specifically for SQLite, such as SQLite Studio.
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Is there a way to backup the cookies and site data exceptions list?
They're database files that you can inspect with a program like DB Browser or SQLiteStudio. You should be able to import permissions.sqlite to different Firefox profiles by just copying it to the right profile directory.
modin
- The Distributed Tensor Algebra Compiler (2022)
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A Polars exploration into Kedro
The interesting thing about Polars is that it does not try to be a drop-in replacement to pandas, like Dask, cuDF, or Modin, and instead has its own expressive API. Despite being a young project, it quickly got popular thanks to its easy installation process and its “lightning fast” performance.
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Modern Polars: an extensive side-by-side comparison of Polars and Pandas
Yeah, tried Polars a couple of times: the API seems worse than Pandas to me too. eg the decision only to support autoincrementing integer indexes seems like it would make debugging "hmmm, that answer is wrong, what exactly did I select?" bugs much more annoying. Polars docs write "blazingly fast" all over them but I doubt that is a compelling point for people using single-node dataframe libraries. It isn't for me.
Modin (https://github.com/modin-project/modin) seems more promising at this point, particularly since a migration path for standing Pandas code is highly desirable.
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Polars: The Next Big Python Data Science Library... written in RUST?
If anyone wants a faster version of pandas it’s not hard to find, modin for example uses multiple cores to speed it up, so if you have 4 cores it’s about 4 times faster than pandas, and has the same API as pandas.
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Working with more than 10gb csv
Modin should fit. It implements Pandas APIs with e.g. Ray as backend. https://github.com/modin-project/modin
- Modern Python Performance Considerations
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I made a video about efficient memory use in pandas dataframes!
If you really want speed you should try modin.pandas which makes pandas multi-threaded.
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Almost no one knows how easily you can optimize your AI models
I am guessing XGB is fairly optimised as it is. If you would want to use the sklearn libraries with pandas, look into Modin
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TIL about modin.pandas which significantly speeds up pandas if you import modin.pandas instead of pandas.
Source
- How to Speed Up Pandas with 1 Line of Code
What are some alternatives?
sqlitebrowser - Official home of the DB Browser for SQLite (DB4S) project. Previously known as "SQLite Database Browser" and "Database Browser for SQLite". Website at:
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Sequel-Ace - MySQL/MariaDB database management for macOS
swifter - A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
beekeeper-studio - Modern and easy to use SQL client for MySQL, Postgres, SQLite, SQL Server, and more. Linux, MacOS, and Windows.
fugue - A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
sqlite-gui - Lightweight SQLite editor for Windows
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
dbgate - Database manager for MySQL, PostgreSQL, SQL Server, MongoDB, SQLite and others. Runs under Windows, Linux, Mac or as web application
PandasGUI - A GUI for Pandas DataFrames
sqlite - A simple sqlite3 library for Haskell
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.