reddit_sse_stream VS vaex

Compare reddit_sse_stream vs vaex and see what are their differences.

reddit_sse_stream

A Server Side Event stream to deliver Reddit comments and submissions in near real-time to a client. (by pushshift)

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 🚀 (by vaexio)
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reddit_sse_stream vaex
6 7
47 8,178
- 0.2%
0.0 5.4
almost 2 years ago about 1 month ago
Python Python
MIT License 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.

reddit_sse_stream

Posts with mentions or reviews of reddit_sse_stream. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-20.

vaex

Posts with mentions or reviews of vaex. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-03.

What are some alternatives?

When comparing reddit_sse_stream and vaex you can also consider the following projects:

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

data.table - R's data.table package extends data.frame:

minimal-pandas-api-for-polars - pip install minimal-pandas-api-for-polars

rust-dataframe - A Rust DataFrame implementation, built on Apache Arrow

visidata - A terminal spreadsheet multitool for discovering and arranging data

umap - Uniform Manifold Approximation and Projection

db-benchmark - reproducible benchmark of database-like ops

dtplyr - Data table backend for dplyr

TypedTables.jl - Simple, fast, column-based storage for data analysis in Julia

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

minimal-pandas-api-for-pola

Datamancer - A dataframe library with a dplyr like API