A command line tool to visualize the differences between two DB states.
Project description
DB Drift
A command-line tool to visualize the differences between two DB states.
Table of Contents
Installation
Install the package from PyPI:
# Using pip
pip install db-drift
# Using pipx
pipx install db-drift
# Using poetry
poetry add db-drift
# Using pipenv
pipenv install db-drift
# Using uv
uv add db-drift
Features
- Compare two database states and visualize the differences.
How to Use
Examples
Options
| Option | Description | Default |
|---|
Troubleshooting
Common Issues
Getting Help
- Check the examples directory for working samples
- Review the issues page for known problems
- Create a new issue if you encounter a bug or have a feature request
Contributing
Contributions are welcome! If you have any ideas, suggestions, or bug reports, please open an issue or submit a pull request.
Please read our CONTRIBUTING.md file for more details.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file db_drift-1.1.0.tar.gz.
File metadata
- Download URL: db_drift-1.1.0.tar.gz
- Upload date:
- Size: 178.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b14687bf8f04c84180352b2b0aa5046293140d2be480b995d68afbdd4a252eff
|
|
| MD5 |
876b7fc68ee7097f5848eb45a5600622
|
|
| BLAKE2b-256 |
74534f9436f66796e0596f089f179ac14df8c3b9c48759d0bcda1fbeacfb9e43
|
File details
Details for the file db_drift-1.1.0-py3-none-any.whl.
File metadata
- Download URL: db_drift-1.1.0-py3-none-any.whl
- Upload date:
- Size: 12.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2af660abe09cfdf837db2339d017cc8801c157f1dfe9d95ff7ebbd514ecf0654
|
|
| MD5 |
5addc2496c4ad7585a0444e312089da2
|
|
| BLAKE2b-256 |
3922b58d11ce1c23bf663402904e046f29098ddb65e49ee261b8e93263ac5538
|
