Qlog – grep for logs, but 100x faster
I built qlog because I got tired of waiting for grep to search through gigabytes of logs. qlog uses an inverted index (like search engines) to search millions of log lines in milliseconds. It's 10-100x faster than grep and way simpler than setting up Elasticsearch. Features: - Lightning fast indexing (1M+ lines/sec using mmap) - Sub-millisecond searches on indexed data - Beautiful terminal output with context lines - Auto-detects JSON, syslog, nginx, apache formats - Zero configuration - Works offline - Pure Python Example: qlog index './logs/*/*.log' qlog search "error"…
Qlog – grep for logs, but 100x faster launched on March 4, 2026 with 17 votes, #931 of 23,380 launches that month and more than 90% of that year's launches.
In plain words
Qlog is a command-line tool for searching through large log files using an inverted index, delivering results in milliseconds rather than seconds. Built for developers and DevOps engineers working with gigabytes of logs, it automatically detects common formats like JSON, syslog, nginx, and apache logs with zero configuration. The tool works entirely offline, stores indexes locally for instant repeated searches, and requires only Python—making it a simpler alternative to setting up Elasticsearch while maintaining sub-millisecond search performance.
written from the facts on this page · September 2026
From the sources
⚡ Lightning-fast local log search - grep for logs, but actually good - Cosm00/qlog
In the maker’s words, at launch
I built qlog because I got tired of waiting for grep to search through gigabytes of logs. qlog uses an inverted index (like search engines) to search millions of log lines in milliseconds. It's 10-100x faster than grep and way simpler than setting up Elasticsearch. Features: - Lightning fast indexing (1M+…
Does a similar job
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Quickwit – OSS Alternative to Elasticsearch, Splunk, Datadog2024 · github.com · ▲145Hi folks, Quickwit cofounder here. We started Quickwit 3 years ago with a POC, "Searching the web for under $1000/month" (see HN discussions [0]), with the goal of making a robust OSS alternative to Elasticsearch / Splunk / Datadog. We have reached a significant milestone with our latest release (0.7) [1], as we have witnessed users of the nightly version of Quickwit deploy clusters with hundreds of nodes, ingest hundreds of terabytes of data daily, and enjoy considerable cost savings. To give you a concrete example, one company is ingesting hundreds of terabytes of logs daily…
My Single-File Python Script I Used to Replace Splunk in My Startup2023 · github.com · ▲313My immediate reaction to today's news that Splunk was being acquired was to comment in the HN discussion for that story: "I hated Splunk so much that I spent a couple days a few months ago writing a single 1200 line python script that does absolutely everything I need in terms of automatic log collection, ingestion, and analysis from a fleet of cloud instances. It pulls in all the log lines, enriches them with useful metadata like the IP address of the instance, the machine name, the log source, the datetime, etc. and stores it all in SQlite, which it then exposes to a very convenient web…
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- LOLogsQL – opinionated query language for logs2024 · docs.victoriametrics.com · ▲61
I don't like the existing query languages for Elasticsearch and Grafana Loki, because they are too awkward to use for typical logs' investigation cases. So I designed new query language - LogsQL - and wrote reference implementation for it as a part of VictoriaLogs - an open source database for logs. LogsQL is based on the following principles: - Simplicity. It is easy to write typical queries over logs in it. For example, a single word `error` is a valid LogsQL query, which returns all the logs with the `error` word. Another example is `_time:5m error`, which returns all the logs with the…
Log collector that runs on a $4 VPS2023 · github.com · ▲118Hey guys, I'm building erlog to try and solve problems with logging. While trying to add logs to my application, I couldn't find any lightweight log platform which was easy to set up without adding tons of dependencies to my code, or configuring 10,000 files. ErLog is just a simple go web server which batch inserts json logs into an sqlite3 server. Through tuning sqlite3 and batching inserts, I find I can get around 8k log insertions/sec which is fast enough for small projects. This is just an MVP, and I plan to add more features once I talk to users. If anyone has any problems with…
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