bottleneck VS segyio

Compare bottleneck vs segyio and see what are their differences.

bottleneck

Fast NumPy array functions written in C (by pydata)

segyio

Fast Python library for SEGY files. (by equinor)
InfluxDB - 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.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
bottleneck segyio
1 1
1,006 461
1.4% 0.7%
3.5 5.6
4 days ago 5 months ago
Python Python
BSD 2-clause "Simplified" License GNU General Public License v3.0 or later
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.

bottleneck

Posts with mentions or reviews of bottleneck. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-29.
  • Update on my Python, C++ and Rust Library
    2 projects | /r/Python | 29 Oct 2021
    Fast Array Manipulation in Python: Since Numpy is the de facto standard for storing multi-dimensional data, any performance gain you see using librapid math kernels will need to be realized on data which probably started its life as a numpy array, and needs to be passed to another tool as a numpy array. Hopefully there will be (or already is?) a way to build a librapid array out of a numpy array without copying the data and vice versa. In fact I might suggest that librapid focus on the fast math operations and simply become an accelerator for numpy arrays. For instance, look at CuPy which provides GPU-implemented operations within a numpy-compatible API, and Bottleneck which simply provides fast C-based implementations of some otherwise slow parts of Numpy. Also note that numpy *can* be multi-threaded depending on the operation and some environment variables. Single-threaded to Single-threaded I think you will be hard-pressed to beat Numpy on general math operations, but that doesn't mean there aren't specific "kernels" that are more specialized that can be greatly improved with a C++ back-end.

segyio

Posts with mentions or reviews of segyio. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing bottleneck and segyio you can also consider the following projects:

cupy - NumPy & SciPy for GPU

quickai - QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.

NumPy - The fundamental package for scientific computing with Python.

Lenia - Lenia - Mathematical Life Forms

pyxirr - Rust-powered collection of financial functions.

ME-PHYS_Undergraduate_Courses - Here will be some of the codes I used whilst studying Mechanical Engineering and Physics at the Bilkent University.

jdupes - A powerful duplicate file finder and an enhanced fork of 'fdupes'.

trusted-traveler-scheduler - Python script for periodically fetching appointment dates from the Trusted Traveler Program API for Global Entry, Nexus, SENTRI, and FAST, with notifications to the user when new appointments are discovered.