Dagger.jl
earthly
Our great sponsors
| Dagger.jl | earthly | |
|---|---|---|
| 4 | 18 | |
| 578 | 10,838 | |
| 2.6% | 4.6% | |
| 8.9 | 9.8 | |
| 7 days ago | 4 days ago | |
| Julia | Go | |
| GNU General Public License v3.0 or later | Mozilla Public License 2.0 |
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.
Dagger.jl
- Dagger: a new way to build CI/CD pipelines
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DTable a new distributed table implementation in Julia using Dagger.jl
Firstly, I'll say that we already have work started to implement out-of-core directly in Dagger: https://github.com/JuliaParallel/Dagger.jl/pull/289.
With that PR in place, it should be possible to define a "storage device" which is backed by a database. I haven't had a chance to actually try this, since the PR still needs quite some work and testing, but it's definitely something on my radar!
- From Julia to Rust
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Cerebras’ New Monster AI Chip Adds 1.4T Transistors
I'm not sure that's necessarily the domain of a low-level package like CUDA.jl though (which I assume you're referring to). That kind of interface is more the domain of higher-level packages like https://github.com/JuliaParallel/Dagger.jl/ and to a lesser extent https://juliagpu.github.io/KernelAbstractions.jl/stable/. Moreover, the jury is still out on whether the built-in Distributed module is an ideal abstraction for every use-case (clusters, heterogeneous compute, etc.)
WRT Nx, my biggest question is how they'll crack the problem of still needing big balls of C++ and the shims everywhere to get acceleration. Creating a compiler that generates efficient GPU or other accelerator code is a massive research project with no clear winners, never mind the challenge of reconciling the very mutation-heavy needs of GPU compute with a mostly immutable language model.
earthly
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Cache is King: A guide for Docker layer caching in GitHub Actions
Also CACHE keyword, for cache mounts. Makes incremental tools like compilers work well in the context of dockerfiles and layer caches.
That can extend beyond just producing docker iamges as well. Under the covers the CACHE keyword is how lib/rust in Earthly makes building Rust artifacts in CI faster.
https://github.com/earthly/earthly/issues/1399
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Is your makefile supposed to be a justfile?
earthly
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Show HN: Earthly 0.7.0
A few of us will be around to answer questions if anyone has any. I myself worked only worked on the chmod feature which was pretty trivial.
https://github.com/earthly/earthly/pull/1821
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Earthly CI: Launching a new era for CI
[2] https://github.com/earthly/earthly/releases/tag/v0.7.0
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Containerize CI pipelines with Earthly
# cat Makefile BIN_PATH = $(shell pwd)/bin $(shell mkdir $(BIN_PATH) &>/dev/null) EARTHLY = $(BIN_PATH)/earthly earthly: ifeq (,$(wildcard $(EARTHLY))) curl -L https://github.com/earthly/earthly/releases/download/v0.6.23/earthly-linux-amd64 -o $(EARTHLY) chmod +x $(EARTHLY) endif
- Earthly - The effortless ci/cd framework that runs anywhere
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GitHub Actions Is Down
I started to bring awareness to the Earthfiles goofy license, but it seems they've switched to MPL! https://github.com/earthly/earthly/releases/tag/v0.6.15
The (unfortunately named) Dagger is also an entry into that space: https://github.com/dagger/dagger#readme (Apache 2)
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Please name some open source projects which are collecting small user analytics metrics and how
- https://github.com/earthly/earthly/tree/main/analytics
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Dagger: a new way to build CI/CD pipelines
Another *monster* difference is that Dagger is (at least currently) Apache 2: https://github.com/dagger/dagger/blob/v0.2.4/LICENSE but Earthly went with BSL: https://github.com/earthly/earthly/blob/v0.6.12/LICENSE
That means I'm more likely to submit bugs and patches to Dagger, and I won't touch Earthly
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Migrating Your Open Source Builds Off Of Travis CI
Example build steps for a go application
What are some alternatives?
julia - The Julia Programming Language
dagger - Application Delivery as Code that Runs Anywhere
DuckDB.jl
dagger-for-github - GitHub Action for Dagger
determined - Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
act - Run your GitHub Actions locally 🚀
Metatheory.jl - General purpose algebraic metaprogramming and symbolic computation library for the Julia programming language: E-Graphs & equality saturation, term rewriting and more.
docker-flask-example - A production ready example Flask app that's using Docker and Docker Compose.
Symbolics.jl - Symbolic programming for the next generation of numerical software
pipeline - A cloud-native Pipeline resource.
Phoenix - Peace of mind from prototype to production