Chartbrew
Druid
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Chartbrew | Druid | |
---|---|---|
18 | 24 | |
2,274 | 13,188 | |
3.3% | 0.6% | |
9.7 | 9.9 | |
6 days ago | 5 days ago | |
JavaScript | Java | |
MIT License | 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.
Chartbrew
- Show HN: Released Chartbrew v3.0 an open source client reporting platform
- Chartbrew ā create live reporting dashboards from APIs, MongoDB, Firestore, etc.
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Those making $500/month on side projects in 2023 ā Show and tell
I'm working part-time on my project https://chartbrew.com
It's an open-source data visualization and reporting platform that I started in 2018, I abandoned in 2019, then resumed working on it more seriously in 2020.
Currently, the platform is doing $1,138 in MRR from then managed hosting service and has made over $11k in revenue so far. It's been growing steadily in the last few months but going through a rough Dec-Jan period at the moment. You can see the open page at https://chartbrew.com/open
Onwards and great job everyone at working to make side projects work for you!
- Show HN: Product analytics on your data warehouse
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Describing My Sandbox
Chartbrew (server): Chartbrew is open-source reporting service which really makes it easy to visualize data.
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I made a self watering system with Raspberry Pi 3, Azure and .NET šŖ“
I did the same thing with Google Firebase for my herb garden! Also, if you want to chart data, Chartbrew is a great tool. I plan on doing this with a hanging drip wall as soon as my area has spring plants to buy!
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Open source visualization and client reporting platform
Feel free to check it out here: https://github.com/chartbrew/chartbrew
- Ask HN: Keep Track of Analytics
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Ask HN: Tool for dashboards / alerting on operational health metrics?
There's an indie-hacker I follow building this: https://chartbrew.com/
From what I understand, it's more like an easier-to-use grafana, where you can build charts/graphs from different data sources.
Druid
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How to choose the right type of database
Apache Druid: Focused on real-time analytics and interactive queries on large datasets. Druid is well-suited for high-performance applications in user-facing analytics, network monitoring, and business intelligence.
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Choosing Between a Streaming Database and a Stream Processing Framework in Python
Online analytical processing (OLAP) databases like Apache Druid, Apache Pinot, and ClickHouse shine in addressing user-initiated analytical queries. You might write a query to analyze historical data to find the most-clicked products over the past month efficiently using OLAP databases. When contrasting with streaming databases, they may not be optimized for incremental computation, leading to challenges in maintaining the freshness of results. The query in the streaming database focuses on recent data, making it suitable for continuous monitoring. Using streaming databases, you can run queries like finding the top 10 sold products where the ātop 10 product listā might change in real-time.
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Show HN: The simplest tiny analytics tool ā storywise
https://github.com/apache/druid
It's always a question of tradeoffs.
The awesome-selfhosted project has a nice list of open-source analytics projects. It's really good inspiration to dig into these projects and find out about the technology choices that other open-source tools in the space have made.
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Analysing Github Stars - Extracting and analyzing data from Github using Apache NiFiĀ®, Apache KafkaĀ® and Apache DruidĀ®
Spencer Kimball (now CEO at CockroachDB) wrote an interesting article on this topic in 2021 where they created spencerkimball/stargazers based on a Python script. So I started thinking: could I create a data pipeline using Nifi and Kafka (two OSS tools often used with Druid) to get the API data into Druid - and then use SQL to do the analytics? The answer was yes! And I have documented the outcome below. Hereās my analytical pipeline for Github stars data using Nifi, Kafka and Druid.
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Apache DruidĀ® - an enterprise architect's overview
Apache Druid is part of the modern data architecture. It uses a special data format designed for analytical workloads, using extreme parallelisation to get data in and get data out. A shared-nothing, microservices architecture helps you to build highly-available, extreme scale analytics features into your applications.
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Real Time Data Infra Stack
Apache Druid
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When you should use columnar databases and not Postgres, MySQL, or MongoDB
But then you realize there are other databases out there focused specifically on analytical use cases with lots of data and complex queries. Newcomers like ClickHouse, Pinot, and Druid (all open source) respond to a new class of problem: The need to develop applications using endpoints published on analytical queries that were previously confined only to the data warehouse and BI tools.
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Druids by Datadog
Datadog's product is a bit too close to Apache Druid to have named their design system so similarly.
From https://druid.apache.org/ :
> Druid unlocks new types of queries and workflows for clickstream, APM, supply chain, network telemetry, digital marketing, risk/fraud, and many other types of data. Druid is purpose built for rapid, ad-hoc queries on both real-time and historical data.
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Mom at 54 is thinking about coding and a complete career shift. Thoughts?
Maybe rare for someone to be seeking their first coding job at that age. But plenty of us are in our 50s or older and still coding up a storm. And not necessarily ancient tech or anything. My current project exposes analytics data from Apache Druid and Cassandra via Go microservices hosted in K8s.
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Building an arm64 container for Apache Druid for your Apple Silicon
Fortunately, it is super easy to build your own leveraging the binary distribution and existing docker.sh.
What are some alternatives?
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
iced - A cross-platform GUI library for Rust, inspired by Elm
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
cube.js - š Cube ā The Semantic Layer for Building Data Applications
PostHog - š¦ PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.
Apache Cassandra - Mirror of Apache Cassandra
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Apache HBase - Apache HBase
Open Web Analytics - Official repository for Open Web Analytics which is an open source alternative to commercial tools such as Google Analytics. Stay in control of the data you collect about the use of your website or app. Please consider sponsoring this project.
egui - egui: an easy-to-use immediate mode GUI in Rust that runs on both web and native
Fathom Analytics - Fathom Lite. Simple, privacy-focused website analytics. Built with Golang & Preact.
Scylla - NoSQL data store using the seastar framework, compatible with Apache Cassandra