Dyana
Dyana is a sandbox environment using Docker and Tracee for loading, running and profiling a wide range of files, including machine learning models, ELF executables, Pickle serialized files, Javascripts and more. It provides detailed insights into GPU memory usage, filesystem interactions, network requests, and security related events.
Installation
Install with:
pip install dyana
To upgrade to the latest version, run:
pip install --upgrade dyana
To uninstall, run:
pip uninstall dyana
Usage
See our docs on dyana usage here
License
Dyana is released under the MIT license. Tracee is released under the Apache 2.0 license.
1 maintainer
Release files for dyana 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dyana-0.1.4.tar.gz | 34.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dyana-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 87.1 kB
Release files / dyana-0.1.4.tar.gz
| Download URL | dyana-0.1.4.tar.gz |
|---|---|
| Size | 34.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
Provenance
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Signed by GitHub Actions, verified by PyPI on Apr 8, 2025.
Transparency logRelease files / dyana-0.1.4-py3-none-any.whl
| Download URL | dyana-0.1.4-py3-none-any.whl |
|---|---|
| Size | 52.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
66b748bfe8c2c9217ad682b747cd27f0712d941741a8de6b6c02917e6831cd01
|
|
BLAKE2b-256 checksum How to use checksums |
58cd197b3a347b653a1ea232ecee50b657582f59cef44f792503318853668f36
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Apr 8, 2025.
Transparency log
