science/dvc 0.30.1_7 DragonFly
Git for data scientists: manage code and data together
- System
- DragonFly
- Repository
- DPorts
- Maintainer
- [email protected] (as in FreeBSD)
- License
- APACHE20
- Categories
- python, science
- Package size
- 232.4 KiB, 1520.7 KiB installed
Description
Data Science Version Control or DVC is an open-source tool for data science and machine learning projects. With a simple and flexible Git-like architecture and interface it helps data scientists: * manage machine learning models - versioning, including data sets and transformations (scripts) that were used to generate models; * make projects reproducible; * make projects shareable; * manage experiments with branching and metrics tracking.
It aims to replace tools like Excel and Docs that are being commonly used as a knowledge repo and a ledger for the team, ad-hoc scripts to track and move deploy different model versions, ad-hoc data file suffixes and prefixes.
Install
Binary package:
pkg install dvc
From DPorts:
cd /usr/dports/science/dvc && make install clean
Dependencies
Run dependencies 19
- devel/py-appdirs
- devel/py-asciimatics
- devel/py-colorama
- devel/py-configobj
- devel/py-configparser
- devel/py-future
- devel/py-gitpython
- devel/py-jsonpath-rw
- devel/py-nanotime
- devel/py-ply
- devel/py-pyasn1
- devel/py-pyyaml
- devel/py-schema
- devel/py-zc.lockfile
- lang/python311
- math/py-grandalf
- math/py-networkx
- sysutils/py-distro
- www/py-requests
No port depends on this one.
Configuration
No options to configure.
- Service scripts
- none