Session replay, cobrowsing and product analytics you can self-host. Ideal for reproducing issues and iterating on your product.
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MauricioGarciaS cea5eda985
feat(recommendations): Added services recommendation (ml_service) and trainer (ml_trainer) (#1275)
* Created two services: recommendation training and recommendation serving

* Deleted Docker temporary

* Added features based in signals information

* Added method to get sessions features using PG

* Added same utils and core elements into ml_trainer

* Added checks before training models, added handler for model serving

* Updated serving API and recommendation functions to use frontend signals features

* reorganized modules to have base image and for both serving and training

* Added Dockerfiles and base Dockerfile

* Solved issue while ordering sessions by relevance

* Added method to save user feedback of recommendations

* Added security authorization

* Updated Dockerfile

* fixed issues with secret insertion to API

* Updated feedback structure

* Added git for dags

* Solved issue of insertion on recommendation feedback

* Changed update method from def to async def and it is called during startup

* Solved issues of airflow running mlflow in dag

* Changes sanity checks and added middleware params

* base path renaming

* Changed update method to a interval method which loads one model each 10s if there are models to download

* Added sql files for recommendation service and trainer

* Cleaned files and added documentation for methods and classes

* Added README file

* Renamed endpoints, changed None into empty array and updated readme

* refactor(recommendation): optimized query

* style(recommendation): changed import to top file, renamed endpoints parameters, function optimization

* refactor(recommendation): .gitignore

* refactor(recommendation): .gitignore

* refactor(recommendation): Optimized Dockerfiles

* refactor(recommendation): changed imports

* refactor(recommendation): optimized requests

* refactor(recommendation): optimized requests

* Fixed boot for fastapi, updated some queries

* Fixed issues while downloading models and while returning json response from API

* limited number of recommendations and set a minimum score to present recommendations

* fix(recommendation): fixed some queries and updated prediction method

* Added env value to control number of predictions to make

* docs(recommendation): Added third party libraries used in recommendation service

* frozen requirements

* Update base_crons.py

added `misfire_grace_time` to recommendation crons

---------

Co-authored-by: Taha Yassine Kraiem <tahayk2@gmail.com>
2023-06-07 15:58:33 +02:00
.github feat(tracker/ui): support for multi tab sessions (#1236) 2023-06-07 10:40:32 +02:00
api Api v1.13.0 (#1310) 2023-06-07 13:19:14 +02:00
assist feat(tracker/ui): support for multi tab sessions (#1236) 2023-06-07 10:40:32 +02:00
backend feat(tracker/ui): support for multi tab sessions (#1236) 2023-06-07 10:40:32 +02:00
ee feat(recommendations): Added services recommendation (ml_service) and trainer (ml_trainer) (#1275) 2023-06-07 15:58:33 +02:00
frontend change(ui): improve insights 2023-06-07 14:25:47 +02:00
mobs feat(tracker/ui): support for multi tab sessions (#1236) 2023-06-07 10:40:32 +02:00
peers fix(assist): use production environment (#1285) 2023-05-26 12:10:29 +02:00
scripts Api v1.13.0 (#1310) 2023-06-07 13:19:14 +02:00
snippet Chore(release): v1.7.0 (#578) 2022-07-07 18:44:43 +02:00
sourcemap-reader fix(assist): use production environment (#1285) 2023-05-26 12:10:29 +02:00
sourcemap-uploader fix(sourcemap-uploader):3.0.8: upgrade dependencies 2022-11-29 11:12:41 +01:00
static Updated hero 2023-05-02 11:17:28 +02:00
tracker fix(tracker): remove console logs 2023-06-07 15:40:59 +02:00
.gitignore change(tracker): unit tests for tracker 2023-02-06 12:42:18 +01:00
.pre-commit-config.yaml Api v1.13.0 (#1310) 2023-06-07 13:19:14 +02:00
CLA.md Update CLA 2021-12-03 12:34:00 +01:00
CODE_OF_CONDUCT.md Add README 2021-04-30 21:10:39 +02:00
CONTRIBUTING.md Introducing CLA 2021-10-28 19:34:11 +02:00
LICENSE Details for directories under the MIT license 2022-08-17 20:53:51 +02:00
README.md Update README.md 2023-05-24 20:40:29 +02:00
SECURITY.md Add README 2021-04-30 21:10:39 +02:00
third-party.md feat(recommendations): Added services recommendation (ml_service) and trainer (ml_trainer) (#1275) 2023-06-07 15:58:33 +02:00

Session replay for developers

The most advanced open-source session replay for building delightful web apps.

OpenReplay is a session replay suite you can host yourself, that lets you see what users do on your web app, helping you troubleshoot issues faster.

  • Session replay. OpenReplay replays what users do, but not only. It also shows you what went under the hood, how your website or app behaves by capturing network activity, console logs, JS errors, store actions/state, page speed metrics, cpu/memory usage and much more.
  • Low footprint. With a ~26KB (.br) tracker that asynchronously sends minimal data for a very limited impact on performance.
  • Self-hosted. No more security compliance checks, 3rd-parties processing user data. Everything OpenReplay captures stays in your cloud for a complete control over your data.
  • Privacy controls. Fine-grained security features for sanitizing user data.
  • Easy deploy. With support of major public cloud providers (AWS, GCP, Azure, DigitalOcean).

Features

  • Session replay: Lets you relive your users' experience, see where they struggle and how it affects their behavior. Each session replay is automatically analyzed based on heuristics, for easy triage.
  • DevTools: It's like debugging in your own browser. OpenReplay provides you with the full context (network activity, JS errors, store actions/state and 40+ metrics) so you can instantly reproduce bugs and understand performance issues.
  • Assist: Helps you support your users by seeing their live screen and instantly hopping on call (WebRTC) with them without requiring any 3rd-party screen sharing software.
  • Omni-search: Search and filter by almost any user action/criteria, session attribute or technical event, so you can answer any question. No instrumentation required.
  • Funnels: For surfacing the most impactful issues causing conversion and revenue loss.
  • Fine-grained privacy controls: Choose what to capture, what to obscure or what to ignore so user data doesn't even reach your servers.
  • Plugins oriented: Get to the root cause even faster by tracking application state (Redux, VueX, MobX, NgRx, Pinia and Zustand) and logging GraphQL queries (Apollo, Relay) and Fetch/Axios requests.
  • Integrations: Sync your backend logs with your session replays and see what happened front-to-back. OpenReplay supports Sentry, Datadog, CloudWatch, Stackdriver, Elastic and more.

Deployment Options

OpenReplay can be deployed anywhere. Follow our step-by-step guides for deploying it on major public clouds:

OpenReplay Cloud

For those who want to simply use OpenReplay as a service, sign up for a free account on our cloud offering.

Community Support

Please refer to the official OpenReplay documentation. That should help you troubleshoot common issues. For additional help, you can reach out to us on one of these channels:

  • Slack (Connect with our engineers and community)
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Contributing

We're always on the lookout for contributions to OpenReplay, and we're glad you're considering it! Not sure where to start? Look for open issues, preferably those marked as good first issues.

See our Contributing Guide for more details.

Also, feel free to join our Slack to ask questions, discuss ideas or connect with our contributors.

Roadmap

Check out our roadmap and keep an eye on what's coming next. You're free to submit new ideas and vote on features.

License

This monorepo uses several licenses. See LICENSE for more details.