connector-x
Fastest library to load data from DB to DataFrames in Rust and Python (by sfu-db)
postgres-binary-parser
Cython implementation of a parser for PostgreSQL's COPY WITH BINARY format (by spitz-dan-l)
| connector-x | postgres-binary-parser | |
|---|---|---|
| 11 | 2 | |
| 1,786 | 6 | |
| 2.5% | - | |
| 9.1 | 0.0 | |
| 6 days ago | about 3 years ago | |
| Rust | Python | |
| MIT License | - |
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
postgres-binary-parser
Posts with mentions or reviews of postgres-binary-parser.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-30.
-
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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Fastest way to read bytes as a scalar?
Have a look at this repo - might save you some work.
What are some alternatives?
When comparing connector-x and postgres-binary-parser you can also consider the following projects:
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Rudderstack - Privacy and Security focused Segment-alternative, in Golang and React
lightweight-charts - Performant financial charts built with HTML5 canvas
mmr - Python based algorithmic trading platform for Interactive Brokers
duckdb - DuckDB is an in-process SQL OLAP Database Management System
datafusion-ballista - Apache Arrow Ballista Distributed Query Engine
Alpaca-API - The Alpaca API is a developer interface for trading operations and market data reception through the Alpaca platform.
datafusion - Apache DataFusion SQL Query Engine
pqrs - Command line tool for inspecting Parquet files
diesel - A safe, extensible ORM and Query Builder for Rust
ruff - An extremely fast Python linter and code formatter, written in Rust.