awesome-open-geoscience VS lasio

Compare awesome-open-geoscience vs lasio and see what are their differences.

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awesome-open-geoscience lasio
1 1
1,348 334
1.4% -
7.1 3.9
7 days ago about 2 months ago
Lasso
Creative Commons Zero v1.0 Universal 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.

awesome-open-geoscience

Posts with mentions or reviews of awesome-open-geoscience. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-15.

lasio

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

What are some alternatives?

When comparing awesome-open-geoscience and lasio you can also consider the following projects:

Transform-to-Open-Science - Transformation to Open Science

TectOH - Tectonics Open Hardware Sandbox

awesome-gis - 😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.

striplog - Lithology and stratigraphic logs for wells or outcrop.

awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.

gdl - GDL - GNU Data Language

mineral-exploration-machine-learning - List of resources for mineral exploration and machine learning, generally with useful code and examples.

skbel - SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.

awesome-satellite-imagery-datasets - 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

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-physics - 🌌 A collaborative list of awesome software for exploring Physics concepts

Awesome_Satellite_Benchmark_Datasets - Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.