DoltHub
Activeloop
Pachyderm
DVC
Kaggle
Weights & Biases
GitHub
Managed MLflow
Iterative.ai
Algorithmia
neptune.ai
Managed MLflow
MCenter
5Analytics
Spell
Datatron
DoltHubThe people at iterative.ai are special.
Its hard to describe quickly, but if you're a potential client or employee--you could easily go your entire career unaware that groups like this exist.
Their tools (like DVC) are exceptional, but I write this review because one need only interact with the people there to understand why they're execptional.
The culture there is one that can only exist when the founding talent is top-tier. The experience you'll have, though, is so much more than that.
Recommend whole-heatedly.
Iterative.ai might be a bit more popular than DoltHub. We know about 6 links to it since March 2021 and only 6 links to DoltHub. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
There are other ways to share this data other than CSVs on GitHub. Kaggle has been mentioned here in the past. There's also dolthub.com where you can make the data available as a SQL queryable dataset. It's "Git for data". Might be nice to host it somewhere where answers to questions like "what was SPY's closing price on 2010-01-27" can be more easily obtained. Source: about 1 year ago
The database world has been slow to follow. But it is getting there, TerminusDB is one database with version control features. There are others like Dolt, Planetscale, and Liquibase that extend the functionality of other databases. - Source: dev.to / about 2 years ago
Why not share the data with something like dolthub.com ? They have stock price, option price, and earnings databases. Source: about 2 years ago
Most of the data on dolthub.com is Creative Commons licensed so use it as you'd like. Source: over 2 years ago
Just looked up dolthub.com, what does it do exactly? Source: over 2 years ago
PyDrive2 is am open-source python package maintained by the awesome people at Iterative. And it is very easy to install:. - Source: dev.to / about 1 year ago
These three are made by Iterative.ai, and seem like very clean implementations of MLOps tooling - especially if you aren't dealing with massive data. https://iterative.ai/. Source: about 1 year ago
For what it's worth. (Full disclosure: I'm the community manager at Iterative (DVC,et.al.) Just wanted to make you aware of our online course (free) that we created specifically for Data Scientists (https://learn.iterative.ai). We know that bridging the gap between prototype to production/ jupyter notebook to reproducible/software engineering compatible, is a challenge. That's why we created the course. To also... Source: over 1 year ago
What do you think of iterative.ai tools like dvc or cml? I have no direct experience, but I am looking at setting up something similar to what you need for a personal project. Source: almost 2 years ago
Hey all, we (at iterative.ai) are launching TPI - Terraform Provider Iterative https://github.com/iterative/terraform-provider-iterative. Source: about 2 years ago
Activeloop - Data lake for machine and deep learning. The fastest dataset management tool for computer vision.
Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.
Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.
DVC - Diablo Valley College consists of two campuses serving more than 22,000 students in Contra Costa County each semester with a wide variety of program options.
Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.
