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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

GitLens reveals the hidden insights within every repository, enhancing the visualization of code authorship through the use of CodeLens and Git blame, which provide a detailed history for each line of code. Effortlessly navigate and investigate Git repositories, extracting meaningful insights with robust comparison commands, all while maintaining a smooth development workflow. Although GitLens is packed with features, it offers extensive customization options to fit your individual preferences — if you find the code lens distracting or the line blame annotations cumbersome, you can easily disable them or adjust their settings. At the end of every line, an unobtrusive annotation displays the last commit and author who modified that line, allowing for quick reference. Additionally, the status bar provides similar blame information, further enriching your coding experience. This level of detail not only enhances collaboration among team members but also promotes accountability in code contributions.

Description

MLflow is an open-source suite designed to oversee the machine learning lifecycle, encompassing aspects such as experimentation, reproducibility, deployment, and a centralized model registry. The platform features four main components that facilitate various tasks: tracking and querying experiments encompassing code, data, configurations, and outcomes; packaging data science code to ensure reproducibility across multiple platforms; deploying machine learning models across various serving environments; and storing, annotating, discovering, and managing models in a unified repository. Among these, the MLflow Tracking component provides both an API and a user interface for logging essential aspects like parameters, code versions, metrics, and output files generated during the execution of machine learning tasks, enabling later visualization of results. It allows for logging and querying experiments through several interfaces, including Python, REST, R API, and Java API. Furthermore, an MLflow Project is a structured format for organizing data science code, ensuring it can be reused and reproduced easily, with a focus on established conventions. Additionally, the Projects component comes equipped with an API and command-line tools specifically designed for executing these projects effectively. Overall, MLflow streamlines the management of machine learning workflows, making it easier for teams to collaborate and iterate on their models.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Apache Spark No 
Apolo No 
Axolotl No 
Azure Machine Learning No 
Comet LLM No 
Kedro No 
Keras No 
KonnectzIT Yes 
Kubernetes No 
LLaMA-Factory No 
Ludwig No 
Modulos AI Governance Platform No 
OpenMetadata No 
Ragas No 
Union Cloud No 
Unity Catalog No 
lakeFS No 
navio No 
neptune.ai No 

Integrations

Apache Spark Yes 
Apolo Yes 
Axolotl Yes 
Azure Machine Learning Yes 
Comet LLM Yes 
Kedro Yes 
Keras Yes 
KonnectzIT No 
Kubernetes Yes 
LLaMA-Factory Yes 
Ludwig Yes 
Modulos AI Governance Platform Yes 
OpenMetadata Yes 
Ragas Yes 
Union Cloud Yes 
Unity Catalog Yes 
lakeFS Yes 
navio Yes 
neptune.ai Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

GitKraken

Country

United States

Website

www.gitkraken.com/gitlens

Vendor Details

Company Name

MLflow

Founded

2018

Country

United States

Website

mlflow.org

Product Features

Application Development

Access Controls/Permissions No 
Code Assistance No 
Code Refactoring No 
Collaboration Tools No 
Compatibility Testing No 
Data Modeling No 
Debugging No 
Deployment Management No 
Graphical User Interface No 
Mobile Development No 
No-Code No 
Reporting/Analytics No 
Software Development No 
Source Control No 
Testing Management No 
Version Control No 
Web App Development No 

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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