$npx skillfedfor your agent

pyds9

Python/DS9 connection via XPA (with numpy and pyfits support)

SkipPyPI Scientific/EngineeringReleased Aug 2016238.8K downloads / moUNKNOWNSource build

Decision gist · record as of 2026-08-14

sdist only — pyds9-1.8.1.tar.gz · builds from source
v1.8.1 · released 2016-08-05

No, unless you are maintaining legacy astronomy code that already depends on pyds9. The package is abandoned (no updates since 2016-08-05), has unclear licensing, requires non-trivial system dependencies and C compilation, and offers no assurance of compatibility with modern Python or X11 environments. For new projects, consider whether DS9 integration is necessary or if alternative approaches would be more maintainable.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires X11 development headers (libXt-devel on openSUSE, libxt-dev on Ubuntu), a working C compiler, and DS9 installed separately; installation involves C compilation.
  • Installation requires compilation of C code and X11 development libraries (libXt-devel or libxt-dev), making setup non-trivial on many systems.
  • The package has been abandoned since 2016-08-05 with no maintenance activity, presenting significant risk for compatibility issues with modern Python and system libraries.

License · maintenance · safety

UNKNOWN (unclear) — License treatment is unclear (marked UNKNOWN with no SPDX identifier), making it difficult to assess legal implications for commercial or redistributed use without consulting the source repository directly.

last release 2016-08-05 (3661 days) · last repo commit 2016-08-05 · 2 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 238,847 downloads/mo, #8,929 on PyPI

Verify before relying

import pyds9
print(pyds9.ds9_targets())
d = pyds9.DS9()
d.set("file /path/to/fits")
  • Compatibility with Python versions released after 2016 (requires_python is unspecified)
  • Whether the package works with modern X11 implementations and current DS9 releases
  • Current maintenance status of the repository (archived status unclear despite last commit in 2016)
Same gist for agents: .md · .json

What it is and what it does

pyds9 is a Python wrapper around the XPA messaging system that enables programmatic control of SAO DS9, an interactive astronomical image viewer. It allows you to open DS9 windows, load FITS image files, and send commands to DS9 from Python code, bridging the gap between Python data analysis and interactive visualization.

The package wraps XPA to communicate with DS9 instances. It has no runtime dependencies, but requires compilation of bundled C code during installation, which depends on X11 development libraries. The package has received no updates since its initial release in 2016-08-05, and shows no recent maintenance activity, making it a legacy tool with uncertain compatibility on modern systems.

Use it for

  • Automate loading and display of FITS astronomical images in DS9 from Python analysis pipelines
  • Query which DS9 windows are currently open and send commands to specific instances programmatically
  • Build interactive astronomy workflows that combine Python data processing with DS9 visualization
  • Test or script DS9 functionality as part of astronomy software testing suites

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Skip

No, unless you are maintaining legacy astronomy code that already depends on pyds9.

The package is abandoned (no updates since 2016-08-05), has unclear licensing, requires non-trivial system dependencies and C compilation, and offers no assurance of compatibility with modern Python or X11 environments. For new projects, consider whether DS9 integration is necessary or if alternative approaches would be more maintainable.

Install

pyds9 on PyPI

Before you install

Installation requires compilation of C code and X11 development libraries (libXt-devel or libxt-dev), making setup non-trivial on many systems. The package has been abandoned since 2016-08-05 with no maintenance activity, presenting significant risk for compatibility issues with modern Python and system libraries.

Requires X11 development headers (libXt-devel on openSUSE, libxt-dev on Ubuntu), a working C compiler, and DS9 installed separately; installation involves C compilation.

License in practice

License treatment is unclear (marked UNKNOWN with no SPDX identifier), making it difficult to assess legal implications for commercial or redistributed use without consulting the source repository directly.

Quickstart

import pyds9
print(pyds9.ds9_targets())
d = pyds9.DS9()
d.set("file /path/to/fits")

Verify before relying

  • Compatibility with Python versions released after 2016 (requires_python is unspecified)
  • Whether the package works with modern X11 implementations and current DS9 releases
  • Current maintenance status of the repository (archived status unclear despite last commit in 2016)

Package facts

LicenseUNKNOWN unclear
Python supportNot specified
Install frictionHigh. Source build required
Runtime dependenciesNone
MaintenanceAbandoned 3,661 days since the last release
Last repo commit
First released
Downloads238,847 / month, #8,929 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14

Evidence: pyds9-1.8.1.tar.gz

Tags

Capabilities
ds9 python interfaceastronomical image viewer controlxpa messaging pythonds9 remote communicationfits image display pythonastronomy visualization automation
Topics
astronomylegacyabandoned
PyPI keywords
astronomyscienceds9

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “ds9 python interface”

  • pyds9pyds9 provides a Python interface to communicate with SAO DS9 (an…
  • python-interfaceDeclares interfaces and statically asserts that classes implement…
  • zope.interfaceProvides a Python implementation of object interfaces for declaring…

Give your agent the search over MCP, or paste the wish link into any chat.

More Scientific/Engineering packages

numpy Worth it
PyPI · Software Development · released Aug 2026

NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.

BSD-3-Clause AND 0BSD AND MIT AND Zlib AND CC0-1.0compiled wheel · 3.12+
1.1Bdownloads / mo
pandas Worth it
PyPI · Scientific/Engineering · released Jul 2026

pandas provides fast, flexible data structures (Series and DataFrame) for loading, cleaning, transforming, and analyzing labeled or relational data in Python.

BSD-3-Clausecompiled wheel · 3.11+
769.1Mdownloads / mo
scipy Worth it
PyPI · Libraries · released Jun 2026

scipy provides numerical algorithms for mathematics, science, and engineering—including optimization, integration, linear algebra, Fourier transforms, signal and image processing, and ODE solvers—built on numpy arrays.

BSD-3-Clausecompiled wheel · 3.12+
449.0Mdownloads / mo
scikit-learn Worth it
PyPI · Software Development · released Jun 2026

scikit-learn provides a comprehensive Python library for supervised and unsupervised machine learning, including classification, regression, clustering, dimensionality reduction, and model evaluation tools built on NumPy and SciPy.

Install it if you need to train, evaluate, or deploy supervised or unsupervised learning models.

BSD-3-Clausecompiled wheel · 3.11+
235.5Mdownloads / mo
dill Worth it
PyPI · Software Development · released Jan 2026

dill extends Python's pickle module to serialize and deserialize a much wider range of Python objects, including functions, lambdas, classes, and interpreter sessions, to byte streams for storage or network transmission.

BSD-3-Clausepure Python · 3.9+
208.1Mdownloads / mo
multiprocess Worth it
PyPI · Software Development · released Jan 2026

Multiprocess is an enhanced fork of Python's standard multiprocessing library that uses dill for better serialization, allowing you to spawn processes with a threading-like API and share complex objects between them.

Install it if you use multiprocessing and encounter pickle serialization limits with lambdas or complex objects.

BSD-3-Clausepure Python · 3.9+
202.7Mdownloads / mo

See also pyvo · specutils · PyAVM · xlib · photutils · lsst-daf-butler · astroquery · regions · ephem · reproject