alephium
Apache Spark
alephium | Apache Spark | |
---|---|---|
17 | 101 | |
142 | 38,414 | |
1.4% | 0.7% | |
9.6 | 10.0 | |
4 days ago | 2 days ago | |
Scala | Scala | |
GNU Lesser General Public License v3.0 only | 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.
alephium
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๐ Full node v2.0.1 released!
Download .JAR file from: ๐ https://github.com/alephium/alephium/releases/latest
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Alephium full-node v1.7.1 & explorer-backend v1.13.0 are now released ๐
Download and run the new .JAR file from: https://github.com/alephium/alephium/releases/latest Or use the latest docker-compose file ๐ณ https://github.com/alephium/alephium/tree/master/docker
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๐ Full node v1.6.0 released!
Always so attentive!! Indeed it was, to revert some logs to debug mode: https://github.com/alephium/alephium/commit/32f7ef5335bfcb96c95dfe5c527a7574ccdd474c
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Post-DiffBomb Announcement
If you didnโt update your full-node yet, hereโs the link to the upgraded Full Node v1.5.5: https://github.com/alephium/alephium/releases/latest
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๐ Full node v1.5.1 released!
Or use the latest docker-compose file: https://github.com/alephium/alephium/tree/master/docker
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For the birthday of its mainnet, Alephium is happy to share a big release for the whole stack!
Full node v1.5.0 With most of the important VM&Ralph features https://github.com/alephium/alephium/releases/latest
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question about nodes
It's ridiculously easy to setup: https://github.com/alephium/alephium
- Alephium: The First Live Layer 1 Sharded Blockchain Written 100% in Scala
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๐ Fresh Alephium releases! โ ๏ธ Attention: some of these changes require actions from your side.
The list of all changes is available on the release page: https://github.com/alephium/alephium/releases/latest/
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Interesting node question for a beginner
This is an excerpt from the docker-compose.yaml file used for running the node in linux using docker-compose.
Apache Spark
- "xAI will open source Grok"
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Groovy ๐ท Cheat Sheet - 01 Say "Hello" from Groovy
Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post ๐.
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๐ฆฟ๐ดSmarcity garbage reporting automation w/ ollama
Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system
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Go concurrency simplified. Part 4: Post office as a data pipeline
also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc.
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Five Apache projects you probably didn't know about
Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features.
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Apache Spark VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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Integrate Pyspark Structured Streaming with confluent-kafka
Apache Spark - https://spark.apache.org/
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Spark โ A micro framework for creating web applications in Kotlin and Java
A JVM based framework named "Spark", when https://spark.apache.org exists?
- Rest in Peas: The Unrecognized Death of Speech Recognition (2010)
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PySpark SparkSession Builder with Kubernetes Master
I recently saw a pull request that was merged to the Apache/Spark repository that apparently adds initial Python bindings for PySpark on K8s. I posted a comment to the PR asking a question about how to use spark-on-k8s in a Python Jupyter notebook, and was told to ask my question here.
What are some alternatives?
block-explorer - The official Stakenet block explorer
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
scala - Scala 2 compiler and standard library. Bugs at https://github.com/scala/bug; Scala 3 at https://github.com/scala/scala3
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Bitcoin-S-Core - Bitcoin Implementation in Scala
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
white-paper - A scalable blockchain platform supporting native cross-shard transactions
Scalding - A Scala API for Cascading
alephium-web3 - A JS/TS library for building dapps on Alephium
mrjob - Run MapReduce jobs on Hadoop or Amazon Web Services
oracle-core - Core off-chain component of Oracle Pools
luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.