launchers | coursier | |
---|---|---|
2 | 10 | |
12 | 2,010 | |
- | 0.4% | |
5.1 | 8.8 | |
3 months ago | 14 days ago | |
Batchfile | Scala | |
- | Apache 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.
launchers
- Scala is close to having an amazing Jupyter Notebook experience for data science workflows
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Integrating Scala Metals with Doom Emacs using LSP on Pop!_OS/Ubuntu 20.04 LTS
# first, let's check where this redirects to curl -sI https://git.io/coursier-cli-"$(uname | tr LD ld)" | grep Location # Should return something like "Location: https://github.com/coursier/launchers/raw/master/cs-x86_64-pc-linux" # Assuming all is good, proceed with the install curl -fLo cs https://git.io/coursier-cli-"$(uname | tr LD ld)" chmod +x cs ./cs install cs rm cs
coursier
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babashka not working - Fatal error: Failed to create the main Isolate. (code 8)
This is an upstream page size issue, equivalent issue here: https://github.com/coursier/coursier/issues/2636
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A new, reworked ScalaDoc is here!
I feel like this is already is the case, one can use coursier https://get-coursier.io/ or scala-cli to get started with Scala extremely fast.
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Scala is close to having an amazing Jupyter Notebook experience for data science workflows
I had a nice workflow installing different Java versions using SDKMAN but switched to Coursier because that't what's recommended in the Almond installation guide. In order to run `jupter lab` and start up the notebook environment, I need to separately install Jupyter Lab via conda (and activate that conda environment).
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Splitting software into multiple applications and libraries. Most practical ways!
Could a Java project use a similar scheme? Probably, but the practicality of that is dependent on programatic resolution tools like coursier which don't exist in a convenient form for Java programmers quite yet.
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5 Useful Database Command Line Tools
Shell for issuing SQL to relational databases via JDBCIf you have Coursier installed, you can quickly connect to a demo Hypersonic database with:
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Getting an error installing metals for lsp-mode
This seems the same thing: - https://github.com/oracle/graal/issues/4479 - https://github.com/coursier/coursier/issues/2395
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Scala setup in Ubuntu
I use coursier to install scala. https://get-coursier.io/
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Some Scala 3 local REPL changes
If you truly must avoid it, then take a look at coursier and ammonite: https://get-coursier.io/ and cs launch com.lihaoyi:ammonite_2.13.1:2.0.4 -M ammonite.Main
- Install Scala 3 on Mac m1
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SBT CodeArtifact - An SBT plugin to publish artifacts to AWS CodeArtifact.
I'm digging a bit deeper on this Google Artifact Repository task and it looks like it won't. See https://github.com/coursier/coursier/issues/1987 for more details.
What are some alternatives?
chemacs2 - Emacs version switcher, improved
sbt-groll - sbt plugin to roll the Git history
doom-emacs - An Emacs framework for the stubborn martian hacker [Moved to: https://github.com/doomemacs/doomemacs]
sbt-revolver - An SBT plugin for dangerously fast development turnaround in Scala
delta-examples - Delta Lake examples
sbt-dependency-graph - sbt plugin to create a dependency graph for your project
SDKMan - The SDKMAN! Command Line Interface
sbt-docker - Create Docker images directly from sbt
polynote-talk - Resources to follow my blog post about Polynote
sbt-codeartifact - An sbt plugin for publishing packages to AWS CodeArtifact.
sbt-native-packager - sbt Native Packager
sbt-pack - A sbt plugin for creating distributable Scala packages.