A minimalist, self-hosted WakaTime-compatible backend for coding statistics.

Website | Features | How to use | Issues | Contact

Installation instructions can be found below and in the Wiki.

🚀 Features

• ✅ 100 % free and open-source
• ✅ Built by developers for developers
• ✅ Statistics for projects, languages, editors, hosts and operating systems
• ✅ Badges
• ✅ Weekly E-Mail Reports
• ✅ REST API
• ✅ Partially compatible with WakaTime
• ✅ WakaTime integration
• ✅ Support for Prometheus exports
• ✅ Lightning fast
• ✅ Self-hosted

🚧 Roadmap

Plans for the near future mainly include, besides usual improvements and bug fixes, a UI redesign as well as additional types of charts and statistics (see #101, #76, #12). If you have feature requests or any kind of improvement proposals feel free to open an issue or share them in our user survey.

⌨️ How to use?

There are different options for how to use Wakapi, ranging from our hosted cloud service to self-hosting it. Regardless of which option choose, you will always have to do the client setup in addition.

☁️ Option 1: Use wakapi.dev

If you want to try out a free, hosted cloud service, all you need to do is create an account and then set up your client-side tooling (see below).

📦 Option 2: Quick-run a Release

$ curl -L https://wakapi.dev/get | bash

🐳 Option 3: Use Docker

# Create a persistent volume
$ docker volume create wakapi-data

$ SALT="$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w ${1:-32} | head -n 1)"

# Run the container
$ docker run -d \
  -p 3000:3000 \
  -e "WAKAPI_PASSWORD_SALT=$SALT" \
  -v wakapi-data:/data \
  --name wakapi \
  ghcr.io/muety/wakapi:latest

Note: By default, SQLite is used as a database. To run Wakapi in Docker with MySQL or Postgres, see Dockerfile and config.default.yml for further options.

If you want to run Wakapi on Kubernetes, there is wakapi-helm-chart for quick and easy deployment.

🧑‍💻 Option 4: Compile and run from source

Prerequisites

• Go >= 1.18
• gcc (to compile go-sqlite3)
  • Fedora / RHEL: dnf install @development-tools
  • Ubuntu / Debian: apt install build-essential
  • Windows: See here

Compile & Run

# Build the executable
$ go build -o wakapi

# Adapt config to your needs
$ cp config.default.yml config.yml
$ vi config.yml

# Run it
$ ./wakapi

Note: Check the comments config.yml for best practices regarding security configuration and more.

💻 Client Setup

Wakapi relies on the open-source WakaTime client tools. In order to collect statistics for Wakapi, you need to set them up.

1. Set up WakaTime for your specific IDE or editor. Please refer to the respective plugin guide
2. Editing your local ~/.wakatime.cfg file as follows

[settings]

# Your Wakapi server URL or 'https://wakapi.dev' when using the cloud server
api_url = http://localhost:3000/api/heartbeat

# Your Wakapi API key (get it from the web interface after having created an account)
api_key = 406fe41f-6d69-4183-a4cc-121e0c524c2b

Optionally, you can set up a client-side proxy in addition.

🔧 Configuration Options

You can specify configuration options either via a config file (default: config.yml, customizable through the -c argument) or via environment variables. Here is an overview of all options.

YAML Key / Env. Variable	Default	Description
env / ENVIRONMENT	dev	Whether to use development- or production settings
app.aggregation_time WAKAPI_AGGREGATION_TIME	02:15	Time of day at which to periodically run summary generation for all users
app.report_time_weekly WAKAPI_REPORT_TIME_WEEKLY	fri,18:00	Week day and time at which to send e-mail reports
app.import_batch_size WAKAPI_IMPORT_BATCH_SIZE	50	Size of batches of heartbeats to insert to the database during importing from external services
app.inactive_days WAKAPI_INACTIVE_DAYS	7	Number of days after which to consider a user inactive (only for metrics)
app.heartbeat_max_age WAKAPI_HEARTBEAT_MAX_AGE	4320h	Maximum acceptable age of a heartbeat (see ParseDuration)
app.custom_languages	-	Map from file endings to language names
app.avatar_url_template	(see config.default.yml)	URL template for external user avatar images (e.g. from Dicebear or Gravatar)
server.port / WAKAPI_PORT	3000	Port to listen on
server.listen_ipv4 / WAKAPI_LISTEN_IPV4	127.0.0.1	IPv4 network address to listen on (leave blank to disable IPv4)
server.listen_ipv6 / WAKAPI_LISTEN_IPV6	::1	IPv6 network address to listen on (leave blank to disable IPv6)
server.listen_socket / WAKAPI_LISTEN_SOCKET	-	UNIX socket to listen on (leave blank to disable UNIX socket)
server.timeout_sec / WAKAPI_TIMEOUT_SEC	30	Request timeout in seconds
server.tls_cert_path / WAKAPI_TLS_CERT_PATH	-	Path of SSL server certificate (leave blank to not use HTTPS)
server.tls_key_path / WAKAPI_TLS_KEY_PATH	-	Path of SSL server private key (leave blank to not use HTTPS)
server.base_path / WAKAPI_BASE_PATH	/	Web base path (change when running behind a proxy under a sub-path)
security.password_salt / WAKAPI_PASSWORD_SALT	-	Pepper to use for password hashing
security.insecure_cookies / WAKAPI_INSECURE_COOKIES	false	Whether or not to allow cookies over HTTP
security.cookie_max_age / WAKAPI_COOKIE_MAX_AGE	172800	Lifetime of authentication cookies in seconds or 0 to use Session cookies
security.allow_signup / WAKAPI_ALLOW_SIGNUP	true	Whether to enable user registration
security.expose_metrics / WAKAPI_EXPOSE_METRICS	false	Whether to expose Prometheus metrics under /api/metrics
db.host / WAKAPI_DB_HOST	-	Database host
db.port / WAKAPI_DB_PORT	-	Database port
db.user / WAKAPI_DB_USER	-	Database user
db.password / WAKAPI_DB_PASSWORD	-	Database password
db.name / WAKAPI_DB_NAME	wakapi_db.db	Database name
db.dialect / WAKAPI_DB_TYPE	sqlite3	Database type (one of sqlite3, mysql, postgres, cockroach)
db.charset / WAKAPI_DB_CHARSET	utf8mb4	Database connection charset (for MySQL only)
db.max_conn / WAKAPI_DB_MAX_CONNECTIONS	2	Maximum number of database connections
db.ssl / WAKAPI_DB_SSL	false	Whether to use TLS encryption for database connection (Postgres and CockroachDB only)
db.automgirate_fail_silently / WAKAPI_DB_AUTOMIGRATE_FAIL_SILENTLY	false	Whether to ignore schema auto-migration failures when starting up
mail.enabled / WAKAPI_MAIL_ENABLED	true	Whether to allow Wakapi to send e-mail (e.g. for password resets)
mail.sender / WAKAPI_MAIL_SENDER	Wakapi <noreply@wakapi.dev>	Default sender address for outgoing mails (ignored for MailWhale)
mail.provider / WAKAPI_MAIL_PROVIDER	smtp	Implementation to use for sending mails (one of [smtp, mailwhale])
mail.smtp.host / WAKAPI_MAIL_SMTP_HOST	-	SMTP server address for sending mail (if using smtp mail provider)
mail.smtp.port / WAKAPI_MAIL_SMTP_PORT	-	SMTP server port (usually 465)
mail.smtp.username / WAKAPI_MAIL_SMTP_USER	-	SMTP server authentication username
mail.smtp.password / WAKAPI_MAIL_SMTP_PASS	-	SMTP server authentication password
mail.smtp.tls / WAKAPI_MAIL_SMTP_TLS	false	Whether the SMTP server requires TLS encryption (false for STARTTLS or no encryption)
mail.mailwhale.url / WAKAPI_MAIL_MAILWHALE_URL	-	URL of MailWhale instance (e.g. https://mailwhale.dev) (if using mailwhale mail provider`)
mail.mailwhale.client_id / WAKAPI_MAIL_MAILWHALE_CLIENT_ID	-	MailWhale API client ID
mail.mailwhale.client_secret / WAKAPI_MAIL_MAILWHALE_CLIENT_SECRET	-	MailWhale API client secret
sentry.dsn / WAKAPI_SENTRY_DSN	–	DSN for to integrate Sentry for error logging and tracing (leave empty to disable)
sentry.enable_tracing / WAKAPI_SENTRY_TRACING	false	Whether to enable Sentry request tracing
sentry.sample_rate / WAKAPI_SENTRY_SAMPLE_RATE	0.75	Probability of tracing a request in Sentry
sentry.sample_rate_heartbeats / WAKAPI_SENTRY_SAMPLE_RATE_HEARTBEATS	0.1	Probability of tracing a heartbeats request in Sentry
quick_start / WAKAPI_QUICK_START	false	Whether to skip initial boot tasks. Use only for development purposes!

Supported databases

Wakapi uses GORM as an ORM. As a consequence, a set of different relational databases is supported.

• SQLite (default, easy setup)
• MySQL (recommended, because most extensively tested)
• MariaDB (open-source MySQL alternative)
• Postgres (open-source as well)
• CockroachDB (cloud-native, distributed, Postgres-compatible API)

🔧 API Endpoints

See our Swagger API Documentation.

Generating Swagger docs

$ go get -u github.com/swaggo/swag/cmd/swag
$ swag init -o static/docs

🤝 Integrations

Prometheus Export

You can export your Wakapi statistics to Prometheus to view them in a Grafana dashboard or so. Here is how.

# 1. Start Wakapi with the feature enabled
$ export WAKAPI_EXPOSE_METRICS=true
$ ./wakapi

# 2. Get your API key and hash it
$ echo "<YOUR_API_KEY>" | base64

# 3. Add a Prometheus scrape config to your prometheus.yml (see below)

Scrape config example

# prometheus.yml
# (assuming your Wakapi instance listens at localhost, port 3000)

scrape_configs:
  - job_name: 'wakapi'
    scrape_interval: 1m
    metrics_path: '/api/metrics'
    bearer_token: '<YOUR_BASE64_HASHED_TOKEN>'
    static_configs:
      - targets: ['localhost:3000']

Grafana

There is also a nice Grafana dashboard, provided by the author of wakatime_exporter.

WakaTime Integration

Wakapi plays well together with WakaTime. For one thing, you can forward heartbeats from Wakapi to WakaTime to effectively use both services simultaneously. In addition, there is the option to import historic data from WakaTime for consistency between both services. Both features can be enabled in the Integrations section of your Wakapi instance's settings page.

GitHub Readme Stats Integrations

Wakapi also integrates with GitHub Readme Stats to generate fancy cards for you. Here is an example.

Click to view code

![](https://github-readme-stats.vercel.app/api/wakatime?username={yourusername}&api_domain=wakapi.dev&bg_color=2D3748&title_color=2F855A&icon_color=2F855A&text_color=ffffff&custom_title=Wakapi%20Week%20Stats&layout=compact)

Github Readme Metrics Integration

There is a WakaTime plugin for GitHub metrics that is also compatible with Wakapi.

Preview:

Click to view code

- uses: lowlighter/metrics@latest
  with:
    # ... other options
    plugin_wakatime: yes
    plugin_wakatime_token: ${{ secrets.WAKATIME_TOKEN }}      # Required
    plugin_wakatime_days: 7                                   # Display last week stats
    plugin_wakatime_sections: time, projects, projects-graphs # Display time and projects sections, along with projects graphs
    plugin_wakatime_limit: 4                                  # Show 4 entries per graph
    plugin_wakatime_url: http://wakapi.dev                  # Wakatime url endpoint
    plugin_wakatime_user: .user.login                         # User

👍 Best Practices

It is recommended to use wakapi behind a reverse proxy, like Caddy or nginx to enable TLS encryption (HTTPS). However, if you want to expose your wakapi instance to the public anyway, you need to set server.listen_ipv4 to 0.0.0.0 in config.yml

🧪 Tests

Unit Tests

Unit tests are supposed to test business logic on a fine-grained level. They are implemented as part of the application, using Go's testing package alongside stretchr/testify.

How to run

$ CGO_FLAGS="-g -O2 -Wno-return-local-addr" go test -json -coverprofile=coverage/coverage.out ./... -run ./...

API Tests

API tests are implemented as black box tests, which interact with a fully-fledged, standalone Wakapi through HTTP requests. They are supposed to check Wakapi's web stack and endpoints, including response codes, headers and data on a syntactical level, rather than checking the actual content that is returned.

Our API (or end-to-end, in some way) tests are implemented as a Postman collection and can be run either from inside Postman, or using newman as a command-line runner.

To get a predictable environment, tests are run against a fresh and clean Wakapi instance with a SQLite database that is populated with nothing but some seed data (see data.sql). It is usually recommended for software tests to be safe, stateless and without side effects. In contrary to that paradigm, our API tests strictly require a fixed execution order (which Postman assures) and their assertions may rely on specific previous tests having succeeded.

Prerequisites (Linux only)

# 1. sqlite (cli)
$ sudo apt install sqlite  # Fedora: sudo dnf install sqlite

# 2. newman
$ npm install -g newman

How to run (Linux only)

$ ./testing/run_api_tests.sh

🤓 Developer Notes

Building web assets

To keep things minimal, all JS and CSS assets are included as static files and checked in to Git. TailwindCSS and Iconify require an additional build step. To only require this at the time of development, the compiled assets are checked in to Git as well.

$ yarn
$ yarn build  # or: yarn watch 

New icons can be added by editing the icons array in scripts/bundle_icons.js.

Precompression

As explained in #284, precompressed (using Brotli) versions of some of the assets are delivered to save additional bandwidth. This was inspired by Caddy's precompressed directive. gzipped.FileServer checks for every static file's .br or .gz equivalents and, if present, delivers those instead of the actual file, alongside Content-Encoding: br. Currently, compressed assets are simply checked in to Git. Later we might want to have this be part of a new build step.

To pre-compress files, run this:

# Install brotli first
$ sudo apt install brotli  # or: sudo dnf install brotli

# Watch, build and compress
$ yarn watch:compress

# Alternatively: build and compress only
$ yarn build:all:compress

# Alternatively: compress only
$ yarn compress

❔ FAQs

Since Wakapi heavily relies on the concepts provided by WakaTime, their FAQs apply to Wakapi for large parts as well. You might find answers there.

What data is sent to Wakapi?

• File names
• Project names
• Editor names
• You computer's host name
• Timestamps for every action you take in your editor
• ...

See the related WakaTime FAQ section for details.

If you host Wakapi yourself, you have control over all your data. However, if you use our webservice and are concerned about privacy, you can also exclude or obfuscate certain file- or project names.

What happens if I'm offline?

All data is cached locally on your machine and sent in batches once you're online again.

How did Wakapi come about?

Wakapi was started when I was a student, who wanted to track detailed statistics about my coding time. Although I'm a big fan of WakaTime I didn't want to pay $9 a month back then. Luckily, most parts of WakaTime are open source!

How does Wakapi compare to WakaTime?

Wakapi is a small subset of WakaTime and has a lot less features. Cool WakaTime features, that are missing Wakapi, include:

• Leaderboards
• Embeddable Charts
• Personal Goals
• Team- / Organization Support
• Integrations (with GitLab, etc.)
• Richer API

WakaTime is worth the price. However, if you only want basic statistics and keep sovereignty over your data, you might want to go with Wakapi.

How are durations calculated?

Inferring a measure for your coding time from heartbeats works a bit differently than in WakaTime. While WakaTime has timeout intervals, Wakapi essentially just pads every heartbeat that occurs after a longer pause with 2 extra minutes.

Here is an example (circles are heartbeats):

|---o---o--------------o---o---|
|   |10s|      3m      |10s|   |

It is unclear how to handle the three minutes in between. Did the developer do a 3-minute break or were just no heartbeats being sent, e.g. because the developer was starring at the screen trying to find a solution, but not actually typing code.

• WakaTime (with 5 min timeout): 3 min 20 sec
• WakaTime (with 2 min timeout): 20 sec
• Wakapi: 10 sec + 2 min + 10 sec = 2 min 20 sec

Wakapi adds a "padding" of two minutes before the third heartbeat. This is why total times will slightly vary between Wakapi and WakaTime.

🌳 Treeware

This package is Treeware. If you use it in production, then we ask that you buy the world a tree to thank us for our work. By contributing to the Treeware forest you’ll be creating employment for local families and restoring wildlife habitats.

👏 Support

Coding in open source is my passion and I would love to do it on a full-time basis and make a living from it one day. So if you like this project, please consider supporting it 🙂. You can donate either through buying me a coffee or becoming a GitHub sponsor. Every little donation is highly appreciated and boosts my motivation to keep improving Wakapi!

🙏 Thanks

I highly appreciate the efforts of @alanhamlett and the WakaTime team and am thankful for their software being open source.

Moreover, thanks to JetBrains for supporting this project as part of their open-source program.

📓 License

GPL-v3 @ Ferdinand Mütsch