The Tool Desk
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Choose by data and workflow
| Tool | Good fit | How you work with it | Scope |
|---|---|---|---|
| GNU Astronomy Utilities (Gnuastro) | Astronomical data manipulation, analysis and modeling | Command line, with libraries and scripts | Processing and analysis; GNU Project documentation describes integration with GNU/Linux. |
| Astropy | Python-based astronomy and astrophysics analysis | Python library and affiliated-package ecosystem | Common functionality and tools for research, data processing and analysis; Astropy Project documentation. |
| SAOImage DS9 | Astronomical images and FITS cubes | Visual display | Inspection and visualization, not a full reduction pipeline; DS9 project and Gnuastro manual. |
| TOPCAT | Catalogues and other tabular data, including FITS and VOTable | Viewer and plotter | Table exploration; Gnuastro manual notes a relatively recent Java runtime requirement. |
| KStars with Ekos | Observing plans, equipment control and image capture | Graphical sky map, planning tools and Ekos suite | Observing and capture workflows, plus FITS viewing; KStars Handbook. |
| CASA | Radio telescope data, including ALMA and VLA workflows | Python interfaces and software workflow | Radio data processing, calibration, imaging and analysis; CASA Team paper (2022). |
These are complementary tools, not six interchangeable applications. The table reflects the roles described by the GNU Astronomy Utilities project and manual, Astropy Project documentation, DS9 project, KStars Handbook and CASA Team paper. It does not score speed, usability or scientific accuracy.
Which tool should you use to analyze FITS files on Linux?
Start with what is inside the file and what you need to do next. FITS is used for different kinds of astronomical data, and opening a file is not the same as reducing it or applying an instrument-specific calibration workflow.
- To inspect an image or cube visually: use SAOImage DS9.
- To transform, model or analyze data from the command line: consider Gnuastro.
- To build a repeatable analysis in Python: consider Astropy and relevant affiliated packages.
- To explore a catalogue or table: use TOPCAT; it complements an image viewer rather than replacing one.
- To control observing equipment or automate image capture: consider KStars and Ekos.
- To calibrate and image radio-interferometry data: evaluate CASA and the workflow for your telescope.
Before committing to a package, check that it supports your Linux distribution and the data format and instrument workflow you actually have. For observatory data, the associated calibration recipes and pipeline compatibility can matter as much as whether a program can read FITS.
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Command-line processing and Python analysis
GNU Astronomy Utilities (Gnuastro)
Gnuastro is the strongest fit among these options when you want a Linux-oriented command-line suite for astronomical data manipulation and analysis. The GNU Project describes it as programs and libraries designed to work together through a shared command-line interface and integrate with GNU/Linux. Its version 0.24 manual covers data containers, manipulation, analysis, modeling, higher-level calculations, scripts, libraries and development.
Choose it when shell-based processing and composable utilities suit your workflow. The project documentation presents a broad suite, but that does not establish that it replaces a telescope- or instrument-specific reduction pipeline.
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Astropy
Astropy is a Python library and ecosystem, not a stand-alone desktop application. The Astropy Project describes its package as providing key functionality and common tools for astronomy and astrophysics in Python, with affiliated packages extending research, data-processing and analysis capabilities.
It is a fit if you are prepared to work in Python and want to incorporate astronomy functionality into code or notebooks. The project asks users to acknowledge or cite Astropy and relevant affiliated packages in publications or talks. Its documentation identified a development build, so that documentation alone should not be treated as evidence of a particular stable release.
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Visual inspection and catalogue work
SAOImage DS9
DS9 is an astronomical image display and visualization tool. The Gnuastro manual specifically identifies it as useful for visually inspecting FITS images and cubes. Use it to look at image data; do not treat a viewer as an end-to-end reduction or scientific-analysis pipeline.
TOPCAT
TOPCAT is a table viewer and plotter that the Gnuastro manual identifies as supporting multiple formats, including FITS and VOTable. It is suited to catalogue and table exploration, a different task from inspecting pixels in DS9. The manual notes that TOPCAT is Java software and requires a relatively recent JVM or JRE, so check that runtime dependency when planning an installation.
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Observing, capture and radio-telescope processing
KStars and Ekos
KStars is free, open-source and cross-platform astronomy software, according to its handbook. It combines a sky map and planetarium with observation-planning tools, Ekos for astrophotography and equipment control as an INDI client, and a FITS viewer. Choose it for planning, observing and capture automation rather than as a general scientific data-reduction suite.
CASA
CASA is the specialist choice in this group for radio astronomy. A 2022 CASA Team paper describes it as primary processing software for ALMA and the VLA, and says it is also used with other radio telescopes. The paper covers single-dish, aperture-synthesis and VLBI data, with workflows for importing and exporting data, inspection and flagging, calibration, manipulation, imaging and deconvolution, visualization and analysis.
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That paper describes Unix platforms including certain Linux versions and documents Python interfaces, but it is not a current installation guide. Check CASA’s current requirements and supported Linux distributions, along with the procedures for your instrument, before setting up a production workflow.
Quick Recap
Check before installing or building a pipeline
- Match the task: distinguish image display, table exploration, observation control, general analysis and instrument-specific reduction.
- Confirm data compatibility: check the file format and, where relevant, whether your instrument’s calibration recipes and pipeline are supported.
- Check runtime requirements: TOPCAT requires a relatively recent Java runtime; Astropy requires working in Python. Consult the project documentation for current platform and dependency details.
- Plan for reproducibility: determine how the tool fits into your scripts or pipeline, and follow project citation guidance when publishing results.
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