polars
influxdb_iox
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| polars | influxdb_iox | |
|---|---|---|
| 144 | 14 | |
| 25,837 | 1,803 | |
| 5.3% | - | |
| 10.0 | 9.9 | |
| 3 days ago | 7 months ago | |
| Rust | Rust | |
| MIT License | 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.
polars
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Polars
- handling of categoricals in polars seemed a little underbaked, though my main complaint, that categories cannot be pre-defined, seems to have been recently addressed: https://github.com/pola-rs/polars/issues/10705
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Stuff I Learned during Hanukkah of Data 2023
That turned out to be related to pola-rs/polars#11912, and this linked comment provided a deceptively simple solution - use PARSE_DECLTYPES when creating the connection:
- Segunda linguagem
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Summing columns in remote Parquet files using DuckDB
Looks like somebody requested it after reading your TIL. https://github.com/pola-rs/polars/issues/12493#issuecomment-...
It will be in the next release. (later today?)
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What are you rewriting in rust?
I am a maintainer for a dataframe interface called polars
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[Crowdsourcing] Is there any code you really wished used named function arguments?
For example with polars, the python library extensively uses named arguments, but in rust we have to use either a builder pattern or macros. The builder pattern tends to be much more verbose than the named argument equivalent. There is currently a draft PR implementing python style named arguments for some of the most common functions.
- Polars cookbook (Jupyter)
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Working with Rust
Seeing a lot of great libraries coming out with python bindings in the data world e.g delta-rs Polars. I see it growing in this space as a C++ alternative
influxdb_iox
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InfluxDB 3.0 Infinite Observability with qryn-iox
Watch out for the AGPL minio <https://github.com/metrico/iox-community/blob/155a14bb5e8e32...> the almost certainly AGPL grafana <https://github.com/grafana/grafana/blob/v10.1.1/LICENSE> and always eye anyone who uses :latest images with healthy suspicion
That said, influx_iox itself appears to be Apache 2 (and/or MIT?) https://github.com/influxdata/influxdb_iox/blob/main/LICENSE...
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InfluxDB 3 is out, OSS commits have been tried up - is this the end?
have you looked at https://github.com/influxdata/influxdb_iox ? that's where the development for the new version is done.
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InfluxData releases InfluxDB 3.0 product suite for time series analytics
As I understand, InfluxDB 3 is just a re-branding of InfluxDB IOx. Then its' performance can be not very good comparing to Prometheus-like systems.
woah
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Production grade databases in Rust
InfluxDB iox
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Anyone had a success story of replacing C++ with Go?
Checked the pulse and seems like a dead project when you look at the actual commits. Nothin but config files and grpc. https://github.com/influxdata/influxdb_iox/pulse/monthly
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Welcome to InfluxDB IOx: InfluxData’s New Storage Engine
Just want to say congratulations to the team!
2 years and 9,500+ commits is a hell of a feat.
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Rust is showing a lot of promise in the DataFrame / tabular data space
Already is: https://github.com/influxdata/influxdb_iox Just still a work in progress.
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Anyone using RDS IAM authentication in their app?
It looks like this crate is the workaround for that. But there's a PR on SQLX opened a couple days ago that will fix the issue.
What are some alternatives?
vaex - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
modin - Modin: Scale your Pandas workflows by changing a single line of code
arrow-datafusion - Apache Arrow DataFusion SQL Query Engine
DataFrames.jl - In-memory tabular data in Julia
datatable - A Python package for manipulating 2-dimensional tabular data structures
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
db-benchmark - reproducible benchmark of database-like ops
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
hdf5-rust - HDF5 for Rust
tidypolars - Tidy interface to polars
arrow2 - Transmute-free Rust library to work with the Arrow format
rust-csv - A CSV parser for Rust, with Serde support.