Amie

GitHub for research and data science

2 followers

Graph-based notebook for researchers and data scientists. Build your knowledge base: structure, connect and explore all your research assets in one app.
Amie gallery image
Amie gallery image
Amie gallery image
Launch Team
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What do you think? …

Johannes Beil
Hey PH, We built amie, because we need Git+GitHub for researchers and data scientists. Unlike the current toolset, which is focused on creating and analyzing isolated data artifacts, amie is all about connected workflows. It gives you and your team strong version control and enables you to explore the entire history of a project, including complex cross-correlations between steps and outcomes. Amie also connects to databases, scientific equipment, and your ML stack through our python client. We'd love to get your feedback, and we're happy to answer any questions!
Mathias Elmose
Tillykke! Will try it out! I like your focus on tracking the history of a project which is a much needed feature for research. I work with teaching and technology in higher education in Denmark and I’m thinking about the possible use cases for teaching. What’s your experience in this?
Johannes Beil
@galimotion Hey, we actually haven't targeted education very much, let's talk about it!
MJ Amartaivan
Amazing product!!
Johannes Beil
@mendorshikh Thanks!
Emmanuel Hadoux
This seems to be exactly what I was looking for for my research! Can it take CSV as input and keep it in the pipeline/tree? Because I was interested in Mode Analytics previously but we can only link to actual DBMS :(
Johannes Beil
@emmanuelhadoux Hey Emmanuel! You can use the python client to import CSVs or connect to your DBMS.
Emmanuel Hadoux
@johannes_beil Yes but can we upload the CSV to have everything in the same place or does it have to be load from a URL or something?
Johannes Beil
@emmanuelhadoux You can directly upload/download the CSV you created in python and look at them / download them in the GUI. You can see here how to do it in the client: https://github.com/disraptoer/re... under "Prepare for modeling and store the data"
Emmanuel Hadoux
@johannes_beil That's brilliant then, thanks!
Carlos Cárdenas
Can`t believe you guys offer this great tool for free. It's so helpful and avoid the usual mess you make working ith so much data
Johannes Beil
@carlos_cardenas Thanks! If you feel bad, tell all your friends about it!
Anders Artboost Cederholm
Super cool setup! Will recommend your service to my friends who do research!
Johannes Beil
David Kofoed Wind
Looks awesome! We definitely needed something like this when I was working as a machine learning Ph.D. Have you talked to the people at Kaggle about this yet?
Johannes Beil
@david_kofoed_wind Thanks! Not yet, that's a great idea.
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