connector-x
Fastest library to load data from DB to DataFrames in Rust and Python (by sfu-db)
pqrs
Command line tool for inspecting Parquet files (by manojkarthick)
| connector-x | pqrs | |
|---|---|---|
| 11 | 4 | |
| 1,786 | 251 | |
| 2.5% | - | |
| 9.1 | 4.0 | |
| 5 days ago | about 1 month ago | |
| Rust | Rust | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
connector-x
Posts with mentions or reviews of connector-x.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-05.
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How moving from Pandas to Polars made me write better code without writing better code
This was originally a blocker, however, we managed to set up a multi-stage Docker build to build from source. Here is the Github issue where we, along with community members, managed to solve it.
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I used multiprocessing and multithreading at the same time to drop the execution time of my code from 155+ seconds to just over 2+ seconds
There's packages like connector-x and polars that do a lot of what you're mentioning out of the box. I used these two to massively speed up an SQLalchemy + Pandas based ETL in the past as well.
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Rust in Data Science?
Thanks for sharing connector-x, I will also start to use it. I wonder if there are a list of tools like that. I know Ruff, Polars, pydantic-core.
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Querying Postgres Tables Directly from DuckDB
I was trying https://github.com/sfu-db/connector-x and hacking around with this https://github.com/spitz-dan-l/postgres-binary-parser but it turned out that a COPY to csv using asyncpg and then converting to parquet was the fastest.
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An alternativt to TradingView ?
if you store the OHLC data in a relational database, use connector-x to load the data into pandas dataframe
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Python and ETL
For SQL reading I'd really recommend connector-x, they do a great job preventing unneeded serialization and don't have to go through python.
- Fastest library to load data from DB to DataFrames
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Waiting for your data loading from database to dataframes?
Indeed, currently we do not support persistent connections among different queries. We target more on the bulk loading scenario where the bottleneck is caused by the data size and the connection construction overhead is negligible. However, one possible solution to the problem is to expose our connection pool object that we use inside Rust to users, so the next call could reuse the same pool. We do not plan for this yet, but happy to see whether this is a common need! Feel free to open an issue in our github repo: https://github.com/sfu-db/connector-x
Feel free to ask any questions here or open an issue in our github repo: https://github.com/sfu-db/connector-x . You can also join our discord community: https://discord.com/invite/xwbkFNk and ask question under connector channel!
- ConnectorX: The fastest tool to load data from databases to dataframes
pqrs
Posts with mentions or reviews of pqrs.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-30.
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Querying Postgres Tables Directly from DuckDB
This won't let you ETL from PG to parquet, but I used this in anger the other day https://github.com/manojkarthick/pqrs Worked quite well for my purposes!
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Holy Uck Fast Analysis with DuckDB and Pyarrow
Shameless plug, my project exposes the common Parquet operations using a Rust CLI tool using the Rust API for Apache Arrow and can be used without any Java/Hadoop/Spark dependencies. Also available a static binary.
https://github.com/manojkarthick/pqrs
- Pqrs: A Command line tool for inspecting Parquet files
- pqrs: A parquet-tools replacement in Rust using Apache Arrow
What are some alternatives?
When comparing connector-x and pqrs you can also consider the following projects:
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Apache Parquet - Apache Parquet
Rudderstack - Privacy and Security focused Segment-alternative, in Golang and React
deno - A modern runtime for JavaScript and TypeScript.
lightweight-charts - Performant financial charts built with HTML5 canvas
ballista - Distributed compute platform implemented in Rust, and powered by Apache Arrow.
mmr - Python based algorithmic trading platform for Interactive Brokers
roapi - Create full-fledged APIs for slowly moving datasets without writing a single line of code.
postgres-binary-parser - Cython implementation of a parser for PostgreSQL's COPY WITH BINARY format
parquet2 - Fastest and safest Rust implementation of parquet. `unsafe` free. Integration-tested against pyarrow
duckdb - DuckDB is an in-process SQL OLAP Database Management System
rust - Rust for the xtensa architecture. Built in targets for the ESP32 and ESP8266