Based on our record, LNAV seems to be a lot more popular than TimescaleDB. While we know about 61 links to LNAV, we've tracked only 5 mentions of TimescaleDB. 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.
As others have kinda alluded to, it could be useful for testing TUI applications. I develop a logfile viewer for the terminal (https://lnav.org) and have a similar application[1] for testing, but it's a bit flaky. It produces/checks snapshots like [2]. I think the problems I run into are more around different versions of ncurses producing slightly different outputs. [1] - - Source: Hacker News / 30 days ago
The Logfile Navigator (https://lnav.org) is a log file viewer/merger/tailer for the terminal. It has some advanced UX features, like showing previews of operations and displaying context sensitive help. For example, the preview for filtering out logs by regex is to highlight the lines that will be hidden in red. This can make crafting the right regex a bit easier since the preview updates as you type. lnav... - Source: Hacker News / about 2 months ago
See https://lnav.org for a powerful mini-ETL CLI power tool; it embeds SQLite, supports ~every format, has great UX and easily handles a few million rows at a time. - Source: Hacker News / 2 months ago
The code base seems like a good reference as a small Python project. My fav option in this class of apps: https://lnav.org/ It lets you use journalctl with pipes as requested here: https://github.com/Textualize/toolong/issues/4. - Source: Hacker News / 5 months ago
For local development, I cannot recommend lnav[1] enough. Discovering this tool was a game changer in my day to day life. Adding comments, filtering in/out, prettify and analyse distribution is hard to live without now. I don't think a browser tool would fit in my workflow. I need to pipe the output to the tool. [1] https://lnav.org/. - Source: Hacker News / 5 months ago
(:alert: I work for Timescale :alert:) It's funny, we hear this more and more "we did some research and landed on Influx and ... Help it's confusing". We actually wrote an article about what we think, you can find it here: https://www.timescale.com/blog/what-influxdb-got-wrong/ As the QuestDB folks mentioned if you want a drop in replacement for Influx then they would be an option, it kinda sounds that's not what... - Source: Hacker News / 8 months ago
If you like PostgreSQL, I'd recommend starting with that. Additionally, you can try TimescaleDB (it's a PostgreSQL extension for time-series data with full SQL support) it has many features that are useful even on a small-scale, things like:. Source: almost 2 years ago
I have built a Django server which serves up the JSON configuration, and I'd also like the server to store and render sensor graphs & event data for my Thing. In future, I'd probably use something like timescale.com as it is a database suited for this application. However right now I only have a handful of devices, and don't want to spend a lot of time configuring my back end when the Thing is my focus. So I'm... Source: over 2 years ago
I've seen a lot of benchmark results on timescale on the web but they all come from timescale.com so I just want to ask if those are accurate. Source: almost 3 years ago
Ryan from Timescale here. We (TimescaleDB) just launched the second annual State of PostgreSQL survey, which asks developers across the globe about themselves, how they use PostgreSQL, their experiences with the community, and more. Source: over 3 years ago
BareTail - BareTail is a real-time log file monitoring tool. Features Real-time file viewing
InfluxData - Scalable datastore for metrics, events, and real-time analytics.
klogg - klogg is the fork of glogg - the fast, smart log explorer.
Prometheus - An open-source systems monitoring and alerting toolkit.
glogg - glogg is a multi-platform GUI application to browse and search through long or complex log files.
VictoriaMetrics - Cost-effective database for huge amounts of time series data