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What is Modelbit?

Continue to follow your regular practices while using Jupyter Notebooks or any Python environment. Simply call modelbi.deploy to initiate your model, enabling Modelbit to handle it alongside all related dependencies in a production setting. Machine learning models deployed through Modelbit can be easily accessed from your data warehouse, just like calling a SQL function. Furthermore, these models are available as a REST endpoint directly from your application, providing additional flexibility. Modelbit seamlessly integrates with your git repository, whether it be GitHub, GitLab, or a bespoke solution. It accommodates code review processes, CI/CD pipelines, pull requests, and merge requests, allowing you to weave your complete git workflow into your Python machine learning models. This platform also boasts smooth integration with tools such as Hex, DeepNote, Noteable, and more, making it simple to migrate your model straight from your favorite cloud notebook into a live environment. If you struggle with VPC configurations and IAM roles, you can quickly redeploy your SageMaker models to Modelbit without hassle. By leveraging the models you have already created, you can benefit from Modelbit's platform and enhance your machine learning deployment process significantly. In essence, Modelbit not only simplifies deployment but also optimizes your entire workflow for greater efficiency and productivity.

What is MergeMe?

MergeMe seamlessly integrates GitHub pull requests and GitLab merge requests into Slack, offering an efficient notification card that continuously updates for each PR/MR. Unlike the official Slack integrations for GitHub or GitLab that create a new message for every event, MergeMe refreshes a single message as its status changes—from opened to under review to approved and finally merged. During the review process, any comments are shown as replies in a thread under the notification card, which helps keep all feedback neatly organized and easily accessible. Additionally, MergeMe supports various code hosting services, such as GitHub, GitLab, and even self-hosted GitLab instances. Users have the ability to connect multiple git sources within a single Slack workspace, allowing them to assign each repository or project to specific Slack channels. It also maps usernames from GitHub and GitLab to Slack users to ensure effective notifications via @mentions for reviewers, while employing label-based routing to sort bugs, features, and documentation efforts into different channels. The setup is designed to be user-friendly and quick, taking approximately five minutes; users simply need to connect their Slack account, link their git provider through OAuth, a GitHub App, or a webhook URL for self-hosted setups, and configure the desired channel mappings. Importantly, MergeMe operates exclusively on webhook payloads, ensuring that it does not access any private source code. For users on the Free Hobby plan, the service offers one channel mapping and accommodates up to five users, making it a fantastic entry point for teams looking to improve their development processes and collaboration. Furthermore, as teams grow and require more mappings and users, they can easily transition to higher-tier plans to unlock additional features and enhancements.

Media

Media

Integrations Supported

GitHub
GitLab
Amazon Redshift
Databricks
Deepnote
Google Colab
Jupyter Notebook
PyTorch
Snowflake
TensorFlow

Integrations Supported

GitHub
GitLab
Slack

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

£5 per developer seat / month
Free for small teams. Forever!
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Modelbit

Date Founded

2022

Company Location

United States

Company Website

www.modelbit.com

Company Facts

Organization Name

MergeMe

Date Founded

2026

Company Location

United Kingdom

Company Website

mergeme.dev/

Categories and Features

AI/ML Model Training

Not specified

Machine Learning

Not specified

Categories and Features

Code Collaboration

Not specified

Code Review

Not specified

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