phoenix_live_dashboard
livebook
Our great sponsors
phoenix_live_dashboard | livebook | |
---|---|---|
4 | 1 | |
1,927 | 1,855 | |
1.0% | - | |
6.8 | 0.0 | |
14 days ago | over 2 years ago | |
Elixir | Elixir | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
phoenix_live_dashboard
-
The next release of Live Dashboard will have SQLite support
One of the most appealing features of Elixir for me was that it has a self-contained ecosystem. All you need to deploy a production-ready application is the application itself and PostgreSQL. No need for Redis, k8s, Kafka, Nginx, and all that stuff. But can we also go without PostgreSQL (and without losing the power of SQL)? For my first Elixir project, I picked SQLite which doesn't require running a separate service and works great with Ecto, thanks to ecto_sqlite3. And imagine my disappointment when Phoenix Live Dashboard didn't show any fancy stats as it does for PostgreSQL.
-
Please guys I'm trying my best ok
here ya go
-
Using Profiling in Elixir to Improve Performance
Phoenix's live dashboard can provide a great, quick overview of metrics. While not exactly a profiler, it shows OS data and metrics from telemetry events and processes, among other things.
-
Are there any other frameworks that come with a built in admin panel?
it's not the same sort of admin panel, but phoenix comes with a live dashboard: https://github.com/phoenixframework/phoenix_live_dashboard
livebook
-
Better Business Intelligence in Elixir with Livebook
Livebook started out as Elixir's version of Jupyter Notebooks. Jupyter is pretty great. But it turns out that code notebooks on Elixir are something special; they do something you usually can't pull off in Python. That's because Elixir has powerful built-in clustering, built on Erlang's BEAM/OTP runtime. Livebook notebooks can talk directly to running Elixir apps. And so we can do analysis and visualization directly off the models in our applications.
What are some alternatives?
oban - 💎 Robust job processing in Elixir, backed by modern PostgreSQL and SQLite3
realtime - Broadcast, Presence, and Postgres Changes via WebSockets
cassandrax - A Cassandra DB data mapper integrated with Ecto, utilizing Xandra for CQL statement execution and response handling.
wireguard-vyatta-ubnt - WireGuard for Ubiquiti Devices
filtrex - A library for performing and validating complex filters from a client (e.g. smart filters)
Tarams - Cast and validate external data and request parameters for Elixir and Phoenix
monetized - A lightweight solution for handling and storing money.
lifelong-learning - ✅ ✅ ✅ A massive repo filled with notes on everything from coding to philosophy to psychology to marketing to product
live_admin - Low-config admin UI for Phoenix apps, built on LiveView
Pandex - Lightweight Elixir wrapper for Pandoc. Convert Markdown, CommonMark, HTML, Latex... to HTML, HTML5, opendocument, rtf, texttile, asciidoc, markdown, json and others
Machinery - Elixir State machine thin layer for structs
gara - Get a room already!