lasio
Python library for reading and writing well data using Log ASCII Standard (LAS) files (by kinverarity1)
striplog
Lithology and stratigraphic logs for wells or outcrop. (by agilescientific)
lasio | striplog | |
---|---|---|
1 | 1 | |
334 | 199 | |
- | -0.5% | |
3.9 | 0.0 | |
about 2 months ago | 7 months ago | |
Lasso | Python | |
MIT License | Apache License 2.0 |
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.
lasio
Posts with mentions or reviews of lasio.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Any geolog users here? Managing log data
I might try to merge the .las files using lasio (https://github.com/kinverarity1/lasio).
striplog
Posts with mentions or reviews of striplog.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing lasio and striplog you can also consider the following projects:
TectOH - Tectonics Open Hardware Sandbox
gdl - GDL - GNU Data Language
skbel - SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.
lance - Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..
awesome-open-geoscience - Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome