InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now. Learn more →
Kibana Alternatives
Similar projects and alternatives to kibana
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SurveyJS
JavaScript Form Builder with No-Code UI & Built-In JSON Schema Editor. Add the SurveyJS white-label form builder to your JavaScript app (React/Angular/Vue3). Build complex JSON forms without coding. Fully customizable, works with any backend, perfect for data-heavy apps. Learn more.
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Grafana
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
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Civic Auth
Auth in Less Than 5 Minutes. Civic Auth comes with multiple SSO options, optional embedded wallets, and user management — all implemented with just a few lines of code. Start building today.
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refine
Discontinued Build your React-based CRUD applications, without constraints. [Moved to: https://github.com/refinedev/refine] (by pankod)
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quickwit
Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.
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secutils
Secutils.dev is an open-source, versatile, yet simple security toolbox for engineers and researchers (by secutils-dev)
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
kibana discussion
kibana reviews and mentions
- Show HN: Open-source Kibana alternative for logs and traces in ClickHouse
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LangGraph Engineer
https://github.com/elastic/kibana/tree/main/x-pack%2Fplugins...
one I saw recently, obvs not the only one
- Fighting the Good Fight: Change the Default Kibana Theme to Dark Mode
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The best application security tool is education
As you might have guessed, I spend a lot of time thinking about application security - almost every day, in fact. At my day job, I'm constantly pondering how to enhance Kibana's security in a scalable manner without overburdening my already hardworking team. Outside of work, I'm equally dedicated to making Secutils.dev even more valuable to fellow engineers looking for better security tools.
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Useful newsletters and podcasts for indie web developers
These newsletters are among the best sources to stay up-to-date with the latest happenings in JavaScript, web development, and Node.js. They conveniently categorize content into sections like new releases, articles & tutorials, and code & tools. Since I use JavaScript/TypeScript and Node.js extensively, both in my day job and for Secutils.dev, I have to stay informed about developments in these essential tools. Usually, I quickly scan through the newsletter and focus only on the items that grab my attention — it doesn't consume much time but keeps me well-informed.
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The cost of false positives in software security, Part 2: Large applications
This is the second part of my reflection sparked by the recent “2023 State of Open Source Security” report from Snyk. It got me thinking about the price we pay for false positives in software security. In my previous post, “The Cost of False Positives in Software Security, Part 1: Small Applications”, I talked about how true and false positives affect smaller applications like Secutils.dev. Now, I want to take the same idea and apply it to a much larger software that’s a big part of my daily work: Kibana.
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The cost of false positives in software security, Part 1: Small applications
False positives in security are something that really bothers me, as I happen to work on security for both large applications like Kibana, with hundreds of contributors, and smaller ones like Secutils.dev, where I'm the sole developer.
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kibana VS openobserve - a user suggested alternative
2 projects | 7 Sep 2023
- Fleet datastreams: custom index templates
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What is the Role of AI in DevOps?
The increasing complexity of modern systems led to the rise of AIOps (Artificial Intelligence for IT Operations) and observability practices. AIOps leveraged machine learning algorithms to automate problem detection, analysis, and resolution. Observability focused on gaining insights into system behaviour through metrics, logs, and traces. As a result, tools like Prometheus, Grafana, and ELK stack (Elasticsearch, Logstash, Kibana) gained popularity.
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A note from our sponsor - InfluxDB
www.influxdata.com | 14 May 2025
Stats
elastic/kibana is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of kibana is TypeScript.