nbdime
tech.ml.dataset
nbdime | tech.ml.dataset | |
---|---|---|
7 | 15 | |
2,596 | 637 | |
0.3% | 1.1% | |
8.4 | 8.8 | |
4 days ago | about 2 months ago | |
TypeScript | Clojure | |
GNU General Public License v3.0 or later | Eclipse Public License 1.0 |
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.
nbdime
-
Stuff I Learned during Hanukkah of Data 2023
I remember hearing about nbdime and thinking it sounded useful, but I've never really needed it since I rarely use Jupyter in the first place. But then I made some changes to my Hanukkah of Data 2023 notebook to work with the follow-up "speed run" challenge (a new dataset and slightly tweaked clues), and the native Git diff was too noisy to be useful. nbdime came to the rescue! Here are the changes I had to make for days 2 and 3 during the speed run:
- The Jupyter+Git problem is now solved
-
Ask HN: Are there any good Diff tools for Jupyter Notebooks?
[5] ReviewNB for reviewing & diff'ing notebook PRs / Commits on GitHub
Disclaimer: While I’m the author of last two (GitPlus & ReviewNB), I’ve represented the overall landscape in an unbiased way. I've been working on this specific problem for 3+ years & regularly talk to teams who use GitHub with notebooks.
[1] https://nbdime.readthedocs.io
- Notebooks suck: change my mind
-
What if Git worked with Programming Languages?
Interesting they mentioned Jupyter Notebooks but not NBDime https://github.com/jupyter/nbdime which is a Jupyter plugin specifically to address this problem. Without it, diffing notebooks is not feasible.
-
Jupyter diff in Magit
A bit off-topic but someone might know; I'm working with jupyter notebook files (ipynb) which are basically json files. Git diff is very noisy so there's nbdime which works great in the CLI. Is there a way to have Magit aware of its integration with git diff?
-
The Notepad++
I use nbdime which allows you to ignore parts of a notebook (e.g. outputs) when diffing.
tech.ml.dataset
-
A Tablecloth talk by Mey Beisaron at Func Prog Sweden this week
Tablecloth by generateme is a friendly & expressive table-processing library built on top of tech.ml.dataset & dtype-next, Chris Nuernberger's high-performance data libraries.
-
Best Data Tools for my use case
For 1: This ns of tech.ml.dataset supports reading of multiple worksheets per file https://github.com/techascent/tech.ml.dataset/blob/master/src/tech/v3/libs/fastexcel.clj
-
Ham-Fisted - A New High Performance Clojure Library
After building tech.ml.dataset and charred I wanted to take the lessons learned there and apply them back into the base Clojure substrate of persistent maps, persistent vectors, and algorithmic primitives like group-by and frequencies.
-
A data science course for Clojurians – are you interested?
Did you try tech.ml.dataset?
- Why Clojure is not widely adopted like mainstream languages?
-
Rewrite Your Scripts In LISP - with Roswell
Checkout babashka for scritping and clj-python to use numpy from clojure, or https://github.com/techascent/tech.ml.dataset for pure clojure
-
Notebooks suck: change my mind
Really high quality libraries for deep learning, dataset manipulation, and more
-
Clojure High Performance Data Processing Updates
tech.ml.dataset has seen some major upgrades for discoverability - specifically the tech.ml.dataset main namespace has been revamped. If you use Cursive or Calva your intellisense will now work with the main namespaces.
- LLVM!
-
Announcement of first beta version of new Clojure machine learning library, scicloj.ml
It is based on a state-of-the art , high performance tabular dataset implementation, tech.ml.dataset and combines it with a innovative pipeline approach build with idiomatic and functional Clojure concepts in mind. Machine Learning models get pulled in as plugins from existing ecosystems, so are available from the start. Please find user guides and example code in GitHub at https://github.com/scicloj/scicloj.ml
What are some alternatives?
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
deep-diamond - A fast Clojure Tensor & Deep Learning library
poetry-dynamic-versioning - Plugin for Poetry to enable dynamic versioning based on VCS tags
tablecloth - Dataset manipulation library built on the top of tech.ml.dataset
nvim-treesitter-context - Show code context
dtype-next - A Clojure library designed to aid in the implementation of high performance algorithms and systems.
webdiff - Two-column web-based git difftool
geni - A Clojure dataframe library that runs on Spark
locust - "git diff" over abstract syntax trees
clerk - ⚡️ Moldable Live Programming for Clojure
unison - A friendly programming language from the future
hanami - Interactive arts and charts plotting with Clojure(Script) and Vega-lite / Vega. Flower viewing 花見 (hanami)