Fathom Analytics
Plausible.io
Google Analytics
Matomo
Simple Analytics
umami
Clicky
Mixpanel
Messagepack
Avro
TOML
Protobuf
Protocol Buffers
Apache Thrift
Eno
JSON
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Based on our record, Fathom Analytics should be more popular than Messagepack. It has been mentiond 66 times since March 2021. 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.
So this post is about something I've been chewing on for months but finally moved on: ripping Google Analytics out of three side projects and picking a privacy-focused alternative. Specifically, I'll compare Umami, Plausible, and Fathom โ the three I actually evaluated โ and walk through the migration steps that worked for me. - Source: dev.to / 3 months ago
Fathom is the most "premium" option. No self-hosted version โ it's a paid product, and they lean into that. The upside is it just works, with excellent uptime and performance. - Source: dev.to / 4 months ago
Fathom takes a different approach โ it's a proprietary, hosted-only product. No self-hosting option. They've bet everything on being the simplest, most privacy-respecting paid analytics tool. - Source: dev.to / 4 months ago
I've been using Umami for this โ it's a self-hosted, privacy-focused analytics tool that doesn't require cookie banners and is fully GDPR-compliant out of the box. Compared to alternatives like Plausible (also excellent, but their hosted plan costs more) or Fathom (hosted-only, pricier), Umami hits a sweet spot of simplicity and zero cost if you self-host. You get clean dashboards showing endpoint usage, response... - Source: dev.to / 4 months ago
Fathom is the premium option. It's not open source and not self-hostable, but it's rock solid and has excellent uptime. Starts at $15/month. - Source: dev.to / 4 months ago
ImHex will tell you if it's compressed. Do you understand data structures? Floats, all those data types? I'd suggest looking at a format like msgpack to see what a binary data format could look like: https://msgpack.org/ Then be aware that proprietary formats are going to be a lot more complicated. Or maybe it's just zipped up json data, only way to tell is to start poking around at it. - Source: Hacker News / 9 months ago
ARJSON leverages bit-level optimizations to encode JSON at lightning speed while compressing data more efficiently than other self-contained JSON encoding/compression algorithms, such as MessagePack and CBOR. - Source: dev.to / over 1 year ago
I also read that Salt was using MessagePack to format their messages. MessagePack is a format like JSON, but more compact. - Source: dev.to / almost 3 years ago
So appreciate such a detailed reply, thanks. btw, why did you choose tinylib/msgp from 4 available go-impls? Source: over 3 years ago
If you find you're running the serial connection at maximum speed and it's still not fast enough, try switching to a more compact binary encoding that has both Serde and Arduino implementations, like MsgPack... Though I don't remember enough about its format off the top of my head to tell you the easiest way to put an unambiguous header on each packet/message to make the protocol self-synchronizing. Source: over 3 years ago
Plausible.io - Plausible Analytics is a simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Made and hosted in the EU, powered by European-owned cloud infrastructure ๐ช๐บ
Avro - Avro Keyboard is an Unicode and ANSI compliant Free Bangla Typing Software and Bangla Spell Checker for Windows.
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
TOML - TOML - Tom's Obvious, Minimal Language
Matomo - Matomo is an open-source web analytics platform
Protobuf - Protocol buffers are a language-neutral, platform-neutral extensible mechanism for serializing structured data.