SpectroTime Reviews

1. Eugene S

   | Developer at Cmstuning | about 2 months ago
   Native Windows App Similar to Clock but with Teamwork Possibilities, Analytics, and Screenshots

   SpectroTime is a top recommendation for Windows users seeking a sophisticated time tracking tool that supports enhanced team functionality and insightful analytics. Ideal for managing both remote and in-office teams, it combines a user-friendly interface with powerful features to boost productivity

   👍 Pros:    Teamwork capabilities. analytics and reporting. screenshot functionality
2. Vlad

   | QA Engineer at Engagecraft | about 2 months ago
   SpectroTime is designed with simplicity in mind

   It's as easy to use as any familiar app you already know, but with the added benefit of tracking your time and managing your tasks. You can start tracking your tasks right after it's installed - no complex setup is required.

   👍 Pros:    Enables task creation and management directly from the desktop client, making it very convenient.
3. Eugene

   | Project Manager at Coral Solution | about 2 months ago

   We found SpectroTime when we were looking for a cheap way to keep track of our work hours, tasks, and take screenshots. It's great because it works just like some of the basic apps on Windows, which makes it easy to get used to. We really liked how it lets us connect time tracking with the tasks we're doing, and the screenshot feature is super useful, especially for keeping everyone honest about what they're working on. The app feels right at home on Windows, looking and working like the apps we're already used to. It's perfect for small teams like ours who want something straightforward and affordable. We've had a good experience with it and think other small teams would like it too.

   🏁 Competitors: Toggl, Hubstaff, Timely

   👍 Pros:    Fits well with windows, similar to the clock app but with time tracking and screenshots|Lets you adjust settings to match how your team works.

OctoSQL Reviews

SpectroTime mentions (0)

OctoSQL mentions (22)

• Analyzing multi-gigabyte JSON files locally

  OctoSQL[0] or DuckDB[1] will most likely be much simpler, while going through 10 GB of JSON in a couple seconds at most. Disclaimer: author of OctoSQL [0]: https://github.com/cube2222/octosql. - Source: Hacker News / about 1 year ago

• DuckDB: Querying JSON files as if they were tables

  This is really cool! With their Postgres scanner[0] you can now easily query multiple datasources using SQL and join between them (i.e. Postgres table with JSON file). Something I strived to build with OctoSQL[1] before. It's amazing to see how quickly DuckDB is adding new features. Not a huge fan of C++, which is right now used for authoring extensions, it'd be really cool if somebody implemented a Rust extension... - Source: Hacker News / over 1 year ago

• Show HN: ClickHouse-local – a small tool for serverless data analytics

  Congrats on the Show HN! It's great to see more tools in this area (querying data from various sources in-place) and the Lambda use case is a really cool idea! I've recently done a bunch of benchmarking, including ClickHouse Local and the usage was straightforward, with everything working as it's supposed to. Just to comment on the performance area though, one area I think ClickHouse could still possibly improve... - Source: Hacker News / over 1 year ago

• Command-line data analytics made easy

  SPyQL is really cool and its design is very smart, with it being able to leverage normal Python functions! As far as similar tools go, I recommend taking a look at DataFusion[0], dsq[1], and OctoSQL[2]. DataFusion is a very (very very) fast command-line SQL engine but with limited support for data formats. Dsq is based on SQLite which means it has to load data into SQLite first, but then gives you the whole breath... - Source: Hacker News / over 1 year ago

• Steampipe – Select * from Cloud;

  To add somewhat of a counterpoint to the other response, I've tried the Steampipe CSV plugin and got 50x slower performance vs OctoSQL[0], which is itself 5x slower than something like DataFusion[1]. The CSV plugin doesn't contact any external API's so it should be a good benchmark of the plugin architecture, though it might just not be optimized yet. That said, I don't imagine this ever being a bottleneck for the... - Source: Hacker News / over 1 year ago