Made a new thing.
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Made a new thing. ZeroClock - time tracker with invoicing. Runs off a single SQLite file on your machine. No accounts, no cloud, nothing phoning home. Nobody else sees your data.
Completely free, not "free tier" free. Portable, CC0 public domain, WCAG 2.2 AAA accessible from the ground up. No VC money, no subscription, no catch.
Whether you freelance or just want to know where your hours go, give it a look.
@lashman That looks really slick
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@lashman That looks really slick
@hyperlinkyourheart thank you!
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@lashman@mastodon.social with Linux you could just try on a VM…Apple sucks with their $99 annual dev subscription
Or maybe someone else can maintain, but then it’s unofficial.
Nevertheless, congrats on release@helpsterTee @lashman maybe to start with it could be available for Mac via homebrew? Seems easier once you get the Linux bit working
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Made a new thing. ZeroClock - time tracker with invoicing. Runs off a single SQLite file on your machine. No accounts, no cloud, nothing phoning home. Nobody else sees your data.
Completely free, not "free tier" free. Portable, CC0 public domain, WCAG 2.2 AAA accessible from the ground up. No VC money, no subscription, no catch.
Whether you freelance or just want to know where your hours go, give it a look.
@lashman trying it out right now and I must say, I'm impressed! Thank you for creating this, especially for free.
Question: I tried to import a detailed Clockify CSV. It throws "Error: RangeError: Invalid time value". Do you have documentation somewhere, so I can fix the file myself? Can I help you in any way with logs or anything?
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@lashman trying it out right now and I must say, I'm impressed! Thank you for creating this, especially for free.
Question: I tried to import a detailed Clockify CSV. It throws "Error: RangeError: Invalid time value". Do you have documentation somewhere, so I can fix the file myself? Can I help you in any way with logs or anything?
@dergell no problem!
and i'll see what i can do about the import, thanks for letting me know about this, i'm on it! -
@lashman trying it out right now and I must say, I'm impressed! Thank you for creating this, especially for free.
Question: I tried to import a detailed Clockify CSV. It throws "Error: RangeError: Invalid time value". Do you have documentation somewhere, so I can fix the file myself? Can I help you in any way with logs or anything?
@dergell ok, i thiiiink i found the bug (hopefully, fingers crossed!), so try this one and let me know, please: https://git.lashman.live/lashman/zeroclock/releases/tag/v1.0.1
and sorry about that
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@dergell ok, i thiiiink i found the bug (hopefully, fingers crossed!), so try this one and let me know, please: https://git.lashman.live/lashman/zeroclock/releases/tag/v1.0.1
and sorry about that
@lashman well, that was quick! It worked, good job. Thank you very much and please don't apologize, you are doing this on a Saturday after all
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@lashman well, that was quick! It worked, good job. Thank you very much and please don't apologize, you are doing this on a Saturday after all
@dergell it did? WOOHOO!!!
thank you so much and it's no problem, really i'm just glad it actually works, haha -
@lashman Take a look at Datasette core tools https://datasette.io/tools and plugins https://datasette.io/plugins that enable cool things like data visualisation and integrations to 3rd party systems. All on top of your file-based SQLite databases.
You could (for example) do matching between Git commits and time tracking by importing multiple SQLite databases to Datasette. Then it would be possible to do SQL queries to both and visualize the outputs with various existing tools it has available. Datasette has importers from various SaaS platforms (including GitHub), allowing to do data analysis and archives to a local system.
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@lashman Take a look at Datasette core tools https://datasette.io/tools and plugins https://datasette.io/plugins that enable cool things like data visualisation and integrations to 3rd party systems. All on top of your file-based SQLite databases.
You could (for example) do matching between Git commits and time tracking by importing multiple SQLite databases to Datasette. Then it would be possible to do SQL queries to both and visualize the outputs with various existing tools it has available. Datasette has importers from various SaaS platforms (including GitHub), allowing to do data analysis and archives to a local system.
@autiomaa i will check it out, for sure, thanks!
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