Open Source Linux Earth Sciences Software
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Earth Sciences Software for Linux
View 5 business solutionsBrowse free open source Earth Sciences software and projects for Linux below. Use the toggles on the left to filter open source Earth Sciences software by OS, license, language, programming language, and project status.
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Auth0 for AI Agents now in GAConnect your AI agents to apps and data more securely, give users control over the actions AI agents can perform and the data they can access, and enable human confirmation for critical agent actions.
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Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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SAGA - System for Automated Geoscientific Analyses - is a Geographic Information System (GIS) software with immense capabilities for geodata processing and analysis. SAGA is programmed in the object oriented C++ language and supports the implementation of new functions with a very effective Application Programming Interface (API). Functions are organised as modules in framework independent Module Libraries and can be accessed via SAGA’s Graphical User Interface (GUI) or various scripting environments (shell scripts, Python, R, ...). Please provide the following reference in your work if you are using SAGA: Conrad, O., Bechtel, B., Bock, M., Dietrich, H., Fischer, E., Gerlitz, L., Wehberg, J., Wichmann, V., and Boehner, J. (2015): System for Automated Geoscientific Analyses (SAGA) v. 2.1.4. Geosci. Model Dev., 8, 1991-2007, https://doi.org/10.5194/gmd-8-1991-2015. For more information visit the project homepage and the wiki.
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Open Grid Analysis and Display System
OpenGrADS provides extensions and interfaces for GrADS.
The Grid Analysis and Display System (GrADS) is an interactive desktop tool for easy access, manipulation, and visualization of earth science data. The OpenGrADS Project seeks to develop advanced interfaces and extensions based on the main GrADS engine. -
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gputils is a collection of tools for Microchip PIC microcontrollers. Its goal is to be fully compatible with Microchip's tools, MPASM, MPLINK, and MPLIB.
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NCO netCDF Operators
Command-line operators for netCDF and HDF files
The netCDF Operators, or NCO, are a suite of file operators which facilitate manipulation and analysis of self-describing data stored in the (freely available) netCDF and HDF formats. Volunteers welcome! See homepage for details and download links. -
Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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ArchGeoTux
Repository Geospatial for Arch Linux
Repository Geospatial packages for Arch Linux -
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S-GeMS is a software for 3D geostatistical modeling. It implements many of the classical geostatistics algorithms, as well as new developments made at Stanford University. See http://sgems.sourceforge.net
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Madagascar is a software package for geophysical data processing and reproducible numerical experiments. The package mission is to provide a convenient environment for researchers working with digital image and data processing in geophysics and related fields.
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Display, log and upload data to the internet from your Oregon Scientific or AcuRite 02032C weather station. The Arduino WxShield also supported. See project web site for FAQs. Use Open Discussion for support requests.
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gpsfeed+
A software gps simulator
A software gps simulator, providing TCP/IP, UDP, http and serial port connectivity in NMEA 0183, XML or user defined output format. Usable for testing all kinds of GPS applications. Can playback pre-recorded GPS files with NMEA output. -
Electronic Lab Notebook (ELN) SoftwareeLabJournal is an all-in-one Electronic Lab Notebook (ELN) software that includes sample tracking and protocol management modules.
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HYPE
hydrological model for simulation of water and water quality over time
Please go to project home (https://hypeweb.smhi.se/model-water/) or wiki-pages (http://hype.smhi.net/wiki/doku.php?id=start) for more information. The hydrological model HYPE is developed at the Swedish Meteorological and Hydrological Institute (SMHI). The model simulates water, nutrients and other substances in small and large river catchments. Included in the project is HYSS, which is needed to run the model. It handles input and output and the simuation over time. -
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DeepChem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, etc
DeepChem aims to provide a high-quality open-source toolchain that democratizes the use of deep learning in drug discovery, materials science, quantum chemistry, and biology. DeepChem currently supports Python 3.7 through 3.9 and requires these packages on any condition. DeepChem has a number of "soft" requirements. If you face some errors like ImportError: This class requires XXXX, you may need to install some packages. Deepchem provides support for TensorFlow, PyTorch, JAX and each requires an individual pip Installation. The DeepChem project maintains an extensive collection of tutorials. All tutorials are designed to be run on Google collab (or locally if you prefer). Tutorials are arranged in a suggested learning sequence that will take you from beginner to proficient at molecular machine learning and computational biology more broadly. -
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Carnaval est un logiciel destiné au calcul de masques et d'ensoleillement. La version actuelle permet de calculer les trajectoires solaires et les masques de terrain liés au relief (modèle issu des données SRTM). Les développements ont été repris par Sober Software. Merci de visiter ce site pour télécharger la dernière version et accéder aux nouvelles fonctionalités : www.sober-software.com
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GPlates
Interactive visualization of plate tectonics.
GPlates is a plate-tectonics program. Manipulate reconstructions of geological and paleo-geographic features through geological time. Interactively visualize vector, raster and volume data. PyGPlates is the GPlates Python library. Get fine-grained access to GPlates functionality in your Python scripts. -
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Kalypso is an open source application for geospatial modelling and simulation. It is primarily developed to be a user friendly tool for GIS-based modelling and simulation of hydrological and hydraulic numerical models.
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CPSeis is the open-source version of ConocoPhillips' former seismic processing system. Uses Fortran 90 and C/C++ layers for I/O. The new system was designed using an MPI-parallel model and works well on Linux clusters or on individual workstations.
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GDAL wheels for linux
GDAL wheels for python and C/C++ projects (Linux only)
To use precompiled wheels: 1) go to releases (Files) and download tarball needed; 2) install it with command: python3 -m pip install /path/to/wheel.whl Or simply use URL in pip: python3 -m pip install https://sourceforge.net/projects/gdal-wheels-for-linux/files/GDAL-3.1.4-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl/download URL may be found under "View details" button (i) To use GDAL in C/C++ project you need to link gdal lib AND all libs located at dir GDAL.libs (usually this folder resides inside python site-packages) To compile your own wheels see information given at forefather project: https://github.com/youngpm/gdalmanylinux Usually this is done via command `make wheels` GDAL wheels for Windows are provided by Christoph Gohlke at https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal Built with PROJ (proj.db is included), GEOS, EXPAT. See Dockerfile.wheels for additional components. -
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ALAMODE
Ab initio simulator for thermal transport and lattice anharmonicity
ALAMODE is designed for analyzing lattice anharmonicity and lattice thermal conductivity of solids. By using an external DFT package such as VASP and Quantum ESPRESSO, you can extract harmonic and anharmonic force constants straightforwardly with ALAMODE. Using the anharmonic force constants, you can also calculate lattice thermal conductivity from first principles. For more information about ALAMODE, please visit the following webpages: Documentation : http://alamode.readthedocs.io/en/latest/ git repository : https://github.com/ttadano/alamode -
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openGPR is a framework for the management, processing and 2D/3D-visualization of ground penetrating radar (GPR, georadar) data. It interoperates with existing tools like Seismic Unix, with a special focus on georadar applications.
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SeaBreeze
Open-source cross-platform spectrometer device driver
SeaBreeze is a device driver library that provides an interface to select Ocean Optics spectrometers. It is written in C/C++ and builds and runs on Windows (XP/7/8), MacOSX, and Linux (x86/x64/ARM). -
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QMapControl is a Qt widget which enables your applications to use map data from different sources on desktop or mobiles. Maps can be enriched by custom objects which will be drawn into the map.
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Niche Analyst (NicheA) was developed based on the BAM framework which allows users to create virtual spaces and virtual species, and to analyze ecological niches in both multivariate environmental and geographic spaces, linking views of the niche in the two spaces. The unique functionality in NicheA, not available in other software programs, is estimating Grinnellian niches of species based on environmental variables and occurrence records, but with a clear focus on fundamental ecological niches. NicheA can display ecological niches; calculate their shape, density, location, and other attributes; and quantify similarity among multiple niches.
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Airborne Data Processing and Analysis
Software to processing and analyze of airborne measurements.
The Airborne Data Processing and Analysis (ADPAA) package is an open-source software package containing a collection of programs and scripts to process and analyze data from in-situ instruments deployed on airborne platforms. The ADPAA package was started to process data on the North Dakota Citation Research Aircraft but has been used to process data on many airborne platforms. The software methodology used in ADPAA is provided in the peer-review publication: Delene, D. J., Airborne Data Processing and Analysis Software Package, Earth Science Informatics, 4(1), 29-44, 2011, URL: http://dx.doi.org/10.1007/s12145-010-0061-4, DOI: 10.1007/s12145-010-0061-4. -
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Clip
Interactive program for evaluation of Laue diffraction patterns
Clip is an interactive program for simulation, indexing and refinement of Laue diffraction images. -
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GEOMS2
Geostatistics and geosciences modeling software
GEOMS2 is a geostatistics and geosciences modeling software. Provides interface for grid (mesh), point, surface and data (non-spatial) objects. It has a 3D viewer and 2D plots using the well known Python engines Mayavi and Matplotlib. It has several functions to manipulate your data as well as provide univariate and multivariate analysis. NOTE: The software is still an early beta. Please tell us if you found a bug. Download datasets for students of Geostatistics 2017 (Petroleum Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Petroleum.zip/download Download datasets for students of Geostatistics 2017 (Geology and Mining Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Mining.zip/download Old: http://sourceforge.net/projects/geoms2/files/SETS_geoestatistica2_2015.7z/download https://sites.google.com/site/cmrpsoftware/downloads/Quarry_sets.7z?attredirects=0&d=1 http://sourceforge.net/projects/geoms2/files/Mining.7z/download -
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GrainSizeTools script
A Python script for estimating the grain size from thin sections
Homepage & docs: http://marcoalopez.github.io/GrainSizeTools/ GrainSizeTools is a free, open-source, cross-platform script written in Python that provides several tools for (1) estimating average grain size in polycrystalline materials, (2) characterizing the nature of the distribution of grain sizes (either from apparent distributions or approximating 3D grain size distributions via stereology), and estimating differential stress via paleopizometers. The script requires as the input the areas of the grain profiles measured grain-by-grain on planar sections and does not require previous experience with Python programming language (see documentation below and FAQ). For users with coding skills, the script is organized in a modular way facilitating the reuse and code extension. Lopez-Sanchez, MA (2018). GrainSizeTools: a Python script for grain size analysis and paleopiezometry based on grain size. Journal of Open Source Software, 3(30), 863, https://doi.org/10.21105/joss.00863
