egl-probe
Decision gist · record as of 2026-08-14
Yes, if you need GPU device discovery on a system with EGL support and are willing to manage system-level dependencies yourself. No, if your system lacks EGL libraries or GPU drivers, or if you need active maintenance and support—the project is dormant and its license status is unclear. Verify license compliance and EGL availability before committing to it.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires EGL libraries and a compatible GPU driver stack installed on the system; will not work without graphics hardware or proper driver configuration.
- High install friction: the package is a compiled extension with no runtime dependencies listed, suggesting it requires system-level EGL libraries and likely a GPU driver stack.
- Last release was 2021-07-16 and the repository shows no activity since 2024-06-26, indicating dormant maintenance.
License · maintenance · safety
(unclear) — License status is unclear—no SPDX identifier or raw license text is provided in the metadata. Before installing, verify the license terms directly from the repository to ensure compliance with your project's requirements.
last release 2021-07-16 (1855 days) · last repo commit 2024-06-26 · 11 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 119,227 downloads/mo, #12,080 on PyPI
Alternatives
Verify before relying
pip install egl_probe
python -m egl_probe.get_available_devices- Exact Python version compatibility is unspecified; unclear which Python versions are supported.
- Whether the package works on systems without NVIDIA GPUs or only supports CUDA devices.
- Current status of EGL library dependencies and whether they are documented or automatically resolved.
What it is and what it does
egl_probe is a lightweight utility that probes your system's graphics hardware using the EGL (OpenGL ES) interface to discover which GPU devices are available for rendering. It reports device indices and maps them to their corresponding CUDA IDs, making it useful for systems with multiple GPUs where you need to know which devices are accessible and how they correspond to CUDA numbering.
The package is a thin wrapper around EGL device enumeration, designed to run as a command-line tool or be imported as a module. It has no Python runtime dependencies, but requires that EGL libraries and GPU drivers be installed on the system beforehand. The project has been dormant since its initial release in 2021, with no recent maintenance or updates.
Use it for
- Verify which GPUs are available on a multi-GPU system before running compute workloads.
- Map EGL device indices to CUDA device IDs for systems where GPU numbering differs between APIs.
- Diagnose GPU driver or EGL library installation issues by checking device availability.
- Automate GPU discovery in deployment scripts or container initialization routines.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need GPU device discovery on a system with EGL support and are willing to manage system-level dependencies yourself.
No, if your system lacks EGL libraries or GPU drivers, or if you need active maintenance and support—the project is dormant and its license status is unclear. Verify license compliance and EGL availability before committing to it.
Install
egl-probe on PyPI
Before you install
High install friction: the package is a compiled extension with no runtime dependencies listed, suggesting it requires system-level EGL libraries and likely a GPU driver stack. Last release was 2021-07-16 and the repository shows no activity since 2024-06-26, indicating dormant maintenance.
Requires EGL libraries and a compatible GPU driver stack installed on the system; will not work without graphics hardware or proper driver configuration.
License in practice
License status is unclear—no SPDX identifier or raw license text is provided in the metadata. Before installing, verify the license terms directly from the repository to ensure compliance with your project's requirements.
Quickstart
pip install egl_probe
python -m egl_probe.get_available_devicesVerify before relying
- Exact Python version compatibility is unspecified; unclear which Python versions are supported.
- Whether the package works on systems without NVIDIA GPUs or only supports CUDA devices.
- Current status of EGL library dependencies and whether they are documented or automatically resolved.
Package facts
| License | Not declared unclear |
| Python support | Not specified |
| Install friction | High. Source build required |
| Runtime dependencies | None |
| Maintenance | Dormant 1,855 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 119,227 / month, #12,080 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: egl_probe-1.0.2.tar.gz
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