Dataiter Alternatives

Similar projects and alternatives to dataiter

polars

144 26,043 10.0 Rust dataiter VS polars

Dataframes powered by a multithreaded, vectorized query engine, written in Rust
db-benchmark

91 319 0.0 R dataiter VS db-benchmark

reproducible benchmark of database-like ops
WorkOS

workos.com sponsored

The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
dtplyr

24 654 7.5 R dataiter VS dtplyr

Data table backend for dplyr
explorer

20 974 9.4 Elixir dataiter VS explorer

Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir
mito

18 2,210 10.0 Python dataiter VS mito

The mitosheet package, trymito.io, and other public Mito code.
data_algebra

5 113 8.5 Python dataiter VS data_algebra

Codd method-chained SQL generator and Pandas data processing in Python.
dataframe-api

2 91 8.6 Python dataiter VS dataframe-api

RFC document, tooling and other content related to the dataframe API standard
InfluxDB

www.influxdata.com sponsored

Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Datamancer

7 124 8.7 Nim dataiter VS Datamancer

A dataframe library with a dplyr like API
chain-ops-python

2 0 10.0 dataiter VS chain-ops-python

Simple chaining of operations (a.k.a. pipe operator) in python
vaex

7 8,173 6.0 Python dataiter VS 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 🚀
minimal-pandas-api-for-pola

1 - - dataiter VS minimal-pandas-api-for-pola
db-benchmark

1 1 0.0 R dataiter VS db-benchmark

reproducible benchmark of database-like ops (by oscardssmith)
minimal-pandas-api-for-polars

1 7 3.2 Python dataiter VS minimal-pandas-api-for-polars

pip install minimal-pandas-api-for-polars

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better dataiter alternative or higher similarity.

Suggest an alternative to dataiter

dataiter reviews and mentions

Posts with mentions or reviews of dataiter. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-01.

Modern Pandas (Part 2): Method Chaining
5 projects | news.ycombinator.com | 1 May 2022

Here's another alternative. I wrote Dataiter specifically as I too was frustrated with Pandas. In my experience if you design a new API from scratch (and don't try to reimplement the Pandas API as many projects have done!) and have some vision and consistent principles, it's well possible to get a good intuitive API as a result. Two relevant issues remain: You're limited by NumPy's datatypes and their problems, such as memory-hogging strings and a lack of a proper missing value (NA), and secondly, limited by the Python language, so compared to e.g. dplyr's non-standard evaluation, you'll need to use lambda functions, which are unfortunately clumsy and verbose.
https://github.com/otsaloma/dataiter
Here's a comparison of dplyr vs. Dataiter vs. Pandas, which should give quick overview of the similarieties and differences.
https://dataiter.readthedocs.io/en/latest/_static/comparison...
Polars: Lightning-fast DataFrame library for Rust and Python
13 projects | news.ycombinator.com | 16 Dec 2021

Agreed, dplyr is great.
I built my own data frame implementation on top of NumPy specifically trying to accomplish a better API, similar to dplyr. It's not exactly the same naming or operations, but should feel familiar and much simpler and consistent than Pandas. And no indexes or axes.
Having done this, a couple notes on what will unavoidably differ in Python
* It probably makes more sense in Python to use classes, so method chaining instead of function piping. I wish one could syntactically skip enclosing parantheses in Python though, method chains look a bit verbose.
* Python doesn't have R's "non-standard evaluation", so you end up needing lambda functions for arguments in method chains and group-wise aggregation etc. I'd be interested if someone has a better solution.
* NumPy (and Pandas) is still missing a proper missing value (NA). It's a big pain to try to work around that.
https://github.com/otsaloma/dataiter