daktari

Daktari is a tool to help the initial setup and ongoing maintenance of developer environments. It runs a series of checks (for example, that required software is installed) and provides suggestions on how to fix the issue if the check fails.

Configuration

In the root of the project repository, create a .daktari.py configuration file listing the checks you want run. For example,

from daktari.checks.git import *

version = "0.0.361"
title = "My Project"

checks = [
    GitInstalled(),
    GitLfsInstalled(),
    GitLfsSetUpForUser(),
    GitLfsFilesDownloaded(),
    GitCryptInstalled(),
]

Then run daktari to diagnose your environment:

$ daktari
✅ [git.installed] Git is installed
✅ [git.lfs.installed] Git LFS is installed
✅ [git.lfs.setUpForUser] Git LFS is set up for the current user
✅ [git.lfs.filesDownloaded] Git LFS files have been downloaded
❌ [git.crypt.installed] git-crypt is not installed
┌─💡 Suggestion ─────────┐
│ brew install git-crypt │
└────────────────────────┘

Custom Check

You can write a custom check as a Python class within .daktari.py, and include it in your list of checks. Example of a check implementation:

class GitCryptInstalled(Check):
    name = "git.crypt.installed"
    depends_on = [GitInstalled]

    suggestions = {
        OS.OS_X: "<cmd>brew install git-crypt</cmd>",
        OS.UBUNTU: "<cmd>sudo apt install git-crypt</cmd>",
        OS.GENERIC: "Install git-crypt (https://www.agwa.name/projects/git-crypt/)",
    }

    def check(self):
        return self.verify(can_run_command("git crypt version"), "git-crypt is <not/> installed")

Testing Daktari changes locally

Having cloned the repo into ~/daktari, you can make use of PYTHONPATH to run daktari using your local changes.

To do this, navigate into a directory that has a .daktari.py (e.g. another repository intending to use your change) and run:

PYTHONPATH=~/daktari python3 -m daktari --debug

Release instructions

Daktari is continuously deployed via a github action - see release.yaml. In case of a need to manually release, the steps are:

bumpversion --verbose patch
python -m build
twine check dist/*
twine upload dist/*

Metadata

Release files for daktari 0.0.361

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for daktari 0.0.361
File	Size	Uploaded	Provenance	Actions
daktari-0.0.361.tar.gz	48.5 kB	Oct 27, 2026	Without provenance	Details for daktari-0.0.361.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for daktari 0.0.361
File	Interpreter	ABI	Platform	Actions Reset
daktari-0.0.361-py3-none-any.whl 68.9 kB Oct 27, 2026 Without provenance	Python 3	none	any	Details for daktari-0.0.361-py3-none-any.whl

Total release size: 117.4 kB

Release files / daktari-0.0.361.tar.gz

Download URL	daktari-0.0.361.tar.gz
Size	48.5 kB
Tags	Source
SHA-256 checksum How to use checksums	`a9404f059143ee36ee31c82d0f5c47a9cfe9fab0f6471cdea8f7316c1614f648`
BLAKE2b-256 checksum How to use checksums	`88bc531e4277bbf2778fab20e9beca6b130f0d7e8fc7c8b3c4f23cf5089ff924`
Upload date	Oct 27, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Release files / daktari-0.0.361-py3-none-any.whl

Download URL	daktari-0.0.361-py3-none-any.whl
Size	68.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`3e5caec2eb2755be59162acd3dcac27083cd202514a30b956c80050d582ce47b`
BLAKE2b-256 checksum How to use checksums	`75792baf09a8fa7b94a7efa7858e9981d80dc2cc2a86c1726a94d918bbbde746`
Upload date	Oct 27, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Security for daktari 0.0.361

Report project as malware

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.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.