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Gitmore represents a thoughtful approach to democratizing Git repository intelligence, successfully addressing the common challenge of extracting actionable insights from complex development activities. The platformโs combination of AI-powered analysis, cross-platform compatibility, and business-friendly reporting creates compelling value for teams seeking to improve visibility into development progress without investing in comprehensive engineering analytics platforms.
Based on our record, Apache Spark should be more popular than Gitmore.io. It has been mentiond 80 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Feature transformations should be deterministic: The same input should produce the same output when the same feature definition and configuration are applied. This is what allows training, backtesting, and live inference to remain aligned. Tools such as Pandas, Spark, or feature platforms such as Feast can be used to implement that logic. - Source: dev.to / 3 months ago
Apache Spark provides distributed in-memory data processing and is the appropriate tool when the data set to be reconciled does not fit in a single machine's memory, or when parallelizing the comparison across a cluster would reduce runtime from hours to minutes. - Source: dev.to / 3 months ago
When IoTDB was initiated in 2011, almost all influential distributed systems and databases were built in Java or on the JVMโsuch as Hadoop, HBase, Spark (Scala on JVM), Cassandra, Kafka, and Flink. To integrate deeply with the big data ecosystem, choosing Java was a natural decision. - Source: dev.to / 5 months ago
For handling even larger datasets or building production applications, Apache Spark provides excellent Parquet support with distributed processing capabilities. - Source: dev.to / 5 months ago
You may want to consider renaming this project. The name "Spark" already refers to: A popular data analytics framework of the Apache Foundation: https://spark.apache.org/ A subset of the Ada programming language used for formal verification: https://learn.adacore.com/courses/intro-to-spark/chapters/01_Overview.html An Nvidia AI development system: https://www.nvidia.com/en-us/products/workstations/dgx-spark/. - Source: Hacker News / 7 months ago
Every commit has a message. Every PR has a title and description. The status update already exists. It's just locked in GitHub. Who this is for: - Founders updating investors - PMs writing release notes - CEOs who want visibility without standups - Anyone who asks "what shipped?" and waits for an engineer to respond What it does: Connect your repos. Ask questions: - "What shipped this month?" - "Who... - Source: Hacker News / 7 months ago
Gitmore (https://gitmore.io) โ natural language queries across GitHub, GitLab, and Bitbucket. Instead of filtering PRs, scanning commit logs, or asking engineers for updates: - "What shipped last week?" - "Who's been working on the API?" - "Which PRs have been open longest?" - "Summarize this month's releases" Plain English in, plain English out. How it works: Connect your repos via OAuth. We register... - Source: Hacker News / 7 months ago
If you're a founder who doesn't code, you probably rely on engineers to tell you what's shipping. That works until investors ask for updates, customers want a changelog, or you just need to know where things stand. What it does: Connect your repos. Ask questions: "What shipped last week?" "What's in progress?" "Who worked on what?" Get plain English answers from your commit history. Automated reports: Schedule... - Source: Hacker News / 7 months ago
Gitmore (https://gitmore.io) One feature I built that's been useful: a Slack bot that queries your Git history. Connect your repos. Add the bot to Slack. Ask:. - Source: Hacker News / 7 months ago
- 2FA support GitHub, GitLab, Bitbucket โ one dashboard. Free for 1 repo: https://gitmore.io How do you currently handle investor questions about engineering progress? - Source: Hacker News / 7 months ago
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.
Hadoop - Open-source software for reliable, scalable, distributed computing
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Apache Hive - Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
Apache Storm - Apache Storm is a free and open source distributed realtime computation system.