MLOps VS valmi-activation

Compare MLOps vs valmi-activation and see what are their differences.

MLOps

MLOps template with examples for Data pipelines, ML workflow management, API development and Monitoring. (by kuutsav)
Mlops dagster mlflow Minio Fastapi

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valmi-activation

⚡ valmi.io reverse ETL (data activation) is the open source ( OSS ) data activation platform to load data from warehouses into Webhooks and SaaS tools like Klaviyo, Facebook Ads, Salesforce, Braze etc. Valmi.io Customer Data Platform (CDP) helps track and ingest user activity events from websites, shopify, serverside events. https://cloud.valmi.io (by valmi-io)
Cdp reverse-etl dbt airbyte dagster
Source Code
valmi.io
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SaaSHub helps you find the best software and product alternatives
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MLOps valmi-activation
2 1
42 126
- 1.6%
0.0 9.4
almost 2 years ago 2 days ago
Python Python
- GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

MLOps

Posts with mentions or reviews of MLOps. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-11.

valmi-activation

Posts with mentions or reviews of valmi-activation. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing MLOps and valmi-activation you can also consider the following projects:

Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai

MLflow - Open source platform for the machine learning lifecycle

portable-data-stack-dagster - A portable Datamart and Business Intelligence suite built with Docker, Dagster, dbt, DuckDB, PostgreSQL and Superset

fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production

dagster - An orchestration platform for the development, production, and observation of data assets.

pyStudio - The easier way to do machine learning in Python without coding!

dagster-example-pipeline - Template Dagster repo using poetry and a single Docker container; works well with CICD

airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

MLOps vs Kedro valmi-activation vs Mage MLOps vs MLflow valmi-activation vs portable-data-stack-dagster MLOps vs fastapi valmi-activation vs dagster valmi-activation vs pyStudio valmi-activation vs dagster-example-pipeline valmi-activation vs airbyte