# Blazer Explore your data with SQL. Easily create charts and dashboards, and share them with your team. [Try it out](https://blazer.dokkuapp.com) [![Screenshot](https://blazer.dokkuapp.com/assets/blazer-a10baa40fef1ca2f5bb25fc97bcf261a6a54192fb1ad0f893c0f562b8c7c4697.png)](https://blazer.dokkuapp.com) Blazer is also available as a [Docker image](https://github.com/ankane/blazer-docker). :tangerine: Battle-tested at [Instacart](https://www.instacart.com/opensource) ## Features - **Multiple data sources** - PostgreSQL, MySQL, Redshift, and [many more](#full-list) - **Variables** - run the same queries with different values - **Checks & alerts** - get emailed when bad data appears - **Audits** - all queries are tracked - **Security** - works with your authentication system ## Docs - [Installation](#installation) - [Queries](#queries) - [Charts](#charts) - [Dashboards](#dashboards) - [Checks](#checks) - [Cohorts](#cohorts) - [Anomaly Detection](#anomaly-detection) - [Forecasting](#forecasting) - [Uploads](#uploads) - [Data Sources](#data-sources) - [Query Permissions](#query-permissions) ## Installation Add this line to your application’s Gemfile: ```ruby gem 'blazer' ``` Run: ```sh rails generate blazer:install rails db:migrate ``` And mount the dashboard in your `config/routes.rb`: ```ruby mount Blazer::Engine, at: "blazer" ``` For production, specify your database: ```ruby ENV["BLAZER_DATABASE_URL"] = "postgres://user:password@hostname:5432/database" ``` Blazer tries to protect against queries which modify data (by running each query in a transaction and rolling it back), but a safer approach is to use a read-only user. [See how to create one](#permissions). #### Checks (optional) Be sure to set a host in `config/environments/production.rb` for emails to work. ```ruby config.action_mailer.default_url_options = {host: "blazer.dokkuapp.com"} ``` Schedule checks to run (with cron, [Heroku Scheduler](https://elements.heroku.com/addons/scheduler), etc). The default options are every 5 minutes, 1 hour, or 1 day, which you can customize. For each of these options, set up a task to run. ```sh rake blazer:run_checks SCHEDULE="5 minutes" rake blazer:run_checks SCHEDULE="1 hour" rake blazer:run_checks SCHEDULE="1 day" ``` You can also set up failing checks to be sent once a day (or whatever you prefer). ```sh rake blazer:send_failing_checks ``` Here’s what it looks like with cron. ``` */5 * * * * rake blazer:run_checks SCHEDULE="5 minutes" 0 * * * * rake blazer:run_checks SCHEDULE="1 hour" 30 7 * * * rake blazer:run_checks SCHEDULE="1 day" 0 8 * * * rake blazer:send_failing_checks ``` For Slack notifications, create an [incoming webhook](https://slack.com/apps/A0F7XDUAZ-incoming-webhooks) and set: ```sh BLAZER_SLACK_WEBHOOK_URL=https://hooks.slack.com/... ``` Name the webhook “Blazer” and add a cool icon. ## Authentication Don’t forget to protect the dashboard in production. ### Basic Authentication Set the following variables in your environment or an initializer. ```ruby ENV["BLAZER_USERNAME"] = "andrew" ENV["BLAZER_PASSWORD"] = "secret" ``` ### Devise ```ruby authenticate :user, ->(user) { user.admin? } do mount Blazer::Engine, at: "blazer" end ``` ### Other Specify a `before_action` method to run in `blazer.yml`. ```yml before_action_method: require_admin ``` You can define this method in your `ApplicationController`. ```ruby def require_admin # depending on your auth, something like... redirect_to root_path unless current_user && current_user.admin? end ``` Be sure to render or redirect for unauthorized users. ## Permissions Blazer runs each query in a transaction and rolls it back to prevent queries from modifying data. As an additional line of defense, we recommend using a read only user. ### PostgreSQL Create a user with read only permissions: ```sql BEGIN; CREATE ROLE blazer LOGIN PASSWORD 'secret123'; GRANT CONNECT ON DATABASE database_name TO blazer; GRANT USAGE ON SCHEMA public TO blazer; GRANT SELECT ON ALL TABLES IN SCHEMA public TO blazer; ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT SELECT ON TABLES TO blazer; COMMIT; ``` ### MySQL Create a user with read only permissions: ```sql GRANT SELECT, SHOW VIEW ON database_name.* TO blazer@’127.0.0.1′ IDENTIFIED BY ‘secret123‘; FLUSH PRIVILEGES; ``` ### MongoDB Create a user with read only permissions: ``` db.createUser({user: "blazer", pwd: "password", roles: ["read"]}) ``` Also, make sure authorization is enabled when you start the server. ## Sensitive Data If your database contains sensitive or personal data, check out [Hypershield](https://github.com/ankane/hypershield) to shield it. ## Encrypted Data If you need to search encrypted data, use [blind indexing](https://github.com/ankane/blind_index). You can have Blazer transform specific variables with: ```ruby Blazer.transform_variable = lambda do |name, value| value = User.generate_email_bidx(value) if name == "email_bidx" value end ``` ## Queries ### Variables Create queries with variables. ```sql SELECT * FROM users WHERE gender = {gender} ``` Use `{start_time}` and `{end_time}` for time ranges. [Example](https://blazer.dokkuapp.com/queries/9-time-range-selector?start_time=1997-10-03T05%3A00%3A00%2B00%3A00&end_time=1997-10-04T04%3A59%3A59%2B00%3A00) ```sql SELECT * FROM ratings WHERE rated_at >= {start_time} AND rated_at <= {end_time} ``` ### Smart Variables [Example](https://blazer.dokkuapp.com/queries/1-smart-variable) Suppose you have the query: ```sql SELECT * FROM users WHERE occupation_id = {occupation_id} ``` Instead of remembering each occupation’s id, users can select occupations by name. Add a smart variable with: ```yml smart_variables: occupation_id: "SELECT id, name FROM occupations ORDER BY name ASC" ``` The first column is the value of the variable, and the second column is the label. You can also use an array or hash for static data and enums. ```yml smart_variables: period: ["day", "week", "month"] status: {0: "Active", 1: "Archived"} ``` ### Linked Columns [Example](https://blazer.dokkuapp.com/queries/3-linked-column) - title column Link results to other pages in your apps or around the web. Specify a column name and where it should link to. You can use the value of the result with `{value}`. ```yml linked_columns: user_id: "/admin/users/{value}" ip_address: "https://www.infosniper.net/index.php?ip_address={value}" ``` ### Smart Columns [Example](https://blazer.dokkuapp.com/queries/2-smart-column) - occupation_id column Suppose you have the query: ```sql SELECT name, city_id FROM users ``` See which city the user belongs to without a join. ```yml smart_columns: city_id: "SELECT id, name FROM cities WHERE id IN {value}" ``` You can also use a hash for static data and enums. ```yml smart_columns: status: {0: "Active", 1: "Archived"} ``` ### Caching Blazer can automatically cache results to improve speed. It can cache slow queries: ```yml cache: mode: slow expires_in: 60 # min slow_threshold: 15 # sec ``` Or it can cache all queries: ```yml cache: mode: all expires_in: 60 # min ``` Of course, you can force a refresh at any time. ## Charts Blazer will automatically generate charts based on the types of the columns returned in your query. **Note:** The order of columns matters. ### Line Chart There are two ways to generate line charts. 2+ columns - timestamp, numeric(s) - [Example](https://blazer.dokkuapp.com/queries/4-line-chart-format-1) ```sql SELECT date_trunc('week', created_at), COUNT(*) FROM users GROUP BY 1 ``` 3 columns - timestamp, string, numeric - [Example](https://blazer.dokkuapp.com/queries/5-line-chart-format-2) ```sql SELECT date_trunc('week', created_at), gender, COUNT(*) FROM users GROUP BY 1, 2 ``` ### Column Chart There are also two ways to generate column charts. 2+ columns - string, numeric(s) - [Example](https://blazer.dokkuapp.com/queries/6-column-chart-format-1) ```sql SELECT gender, COUNT(*) FROM users GROUP BY 1 ``` 3 columns - string, string, numeric - [Example](https://blazer.dokkuapp.com/queries/7-column-chart-format-2) ```sql SELECT gender, zip_code, COUNT(*) FROM users GROUP BY 1, 2 ``` ### Scatter Chart 2 columns - both numeric - [Example](https://blazer.dokkuapp.com/queries/16-scatter-chart) ```sql SELECT x, y FROM table ``` ### Pie Chart 2 columns - string, numeric - and last column named `pie` - [Example](https://blazer.dokkuapp.com/queries/17-pie-chart) ```sql SELECT gender, COUNT(*) AS pie FROM users GROUP BY 1 ``` ### Maps Columns named `latitude` and `longitude` or `lat` and `lon` or `lat` and `lng` - [Example](https://blazer.dokkuapp.com/queries/15-map) ```sql SELECT name, latitude, longitude FROM cities ``` To enable, get an access token from [Mapbox](https://www.mapbox.com/) and set `ENV["MAPBOX_ACCESS_TOKEN"]`. ### Targets Use the column name `target` to draw a line for goals. [Example](https://blazer.dokkuapp.com/queries/8-target-line) ```sql SELECT date_trunc('week', created_at), COUNT(*) AS new_users, 100000 AS target FROM users GROUP BY 1 ``` ## Dashboards Create a dashboard with multiple queries. [Example](https://blazer.dokkuapp.com/dashboards/1-dashboard-demo) If the query has a chart, the chart is shown. Otherwise, you’ll see a table. If any queries have variables, they will show up on the dashboard. ## Checks Checks give you a centralized place to see the health of your data. [Example](https://blazer.dokkuapp.com/checks) Create a query to identify bad rows. ```sql SELECT * FROM ratings WHERE user_id IS NULL /* all ratings should have a user */ ``` Then create check with optional emails if you want to be notified. Emails are sent when a check starts failing, and when it starts passing again. ## Cohorts Create a cohort analysis from a simple SQL query. [Example](https://blazer.dokkuapp.com/queries/19-cohort-analysis-from-first-order) Create a query with the comment `/* cohort analysis */`. The result should have columns named `user_id` and `conversion_time` and optionally `cohort_time`. You can generate cohorts from the first conversion time: ```sql /* cohort analysis */ SELECT user_id, created_at AS conversion_time FROM orders ``` (the first conversion isn’t counted in the first time period with this format) Or from another time, like sign up: ```sql /* cohort analysis */ SELECT users.id AS user_id, orders.created_at AS conversion_time, users.created_at AS cohort_time FROM users LEFT JOIN orders ON orders.user_id = users.id ``` This feature requires PostgreSQL or MySQL. ## Anomaly Detection Blazer supports three different approaches to anomaly detection. ### Prophet Add [prophet-rb](https://github.com/ankane/prophet) to your Gemfile: ```ruby gem 'prophet-rb' ``` And add to `config/blazer.yml`: ```yml anomaly_checks: prophet ``` ### Trend [Trend](https://trendapi.org/) uses an external service by default, but you can run it on your own infrastructure as well. Add [trend](https://github.com/ankane/trend) to your Gemfile: ```ruby gem 'trend' ``` And add to `config/blazer.yml`: ```yml anomaly_checks: trend ``` For the [self-hosted API](https://github.com/ankane/trend-api), create an initializer with: ```ruby Trend.url = "http://localhost:8000" ``` ### R R uses Twitter’s [AnomalyDetection](https://github.com/twitter/AnomalyDetection) library. First, [install R](https://cloud.r-project.org/). Then, run: ```R install.packages("remotes") remotes::install_github("twitter/AnomalyDetection") ``` And add to `config/blazer.yml`: ```yml anomaly_checks: r ``` If upgrading from version 1.4 or below, also follow the [upgrade instructions](#15). If you’re on Heroku, follow the additional instructions below. ### R on Heroku Add the [R buildpack](https://github.com/virtualstaticvoid/heroku-buildpack-r) to your app. ```sh heroku buildpacks:add --index 1 https://github.com/virtualstaticvoid/heroku-buildpack-r.git ``` And create an `init.R` with: ```r if (!"AnomalyDetection" %in% installed.packages()) { install.packages("remotes") remotes::install_github("twitter/AnomalyDetection") } ``` Commit and deploy away. The first deploy may take a few minutes. ## Forecasting Blazer supports for two different forecasting methods. [Example](https://blazer.dokkuapp.com/queries/18-forecast?forecast=t) A forecast link will appear for queries that return 2 columns with types timestamp and numeric. ### Prophet Add [prophet](https://github.com/ankane/prophet) to your Gemfile: ```ruby gem 'prophet-rb', '>= 0.2.1' ``` And add to `config/blazer.yml`: ```yml forecasting: prophet ``` ### Trend [Trend](https://trendapi.org/) uses an external service. Add [trend](https://github.com/ankane/trend) to your Gemfile: ```ruby gem 'trend' ``` And add to `config/blazer.yml`: ```yml forecasting: trend ``` ## Uploads Creating database tables from CSV files. [Example](https://blazer.dokkuapp.com/uploads) Run: ```sh rails generate blazer:uploads rails db:migrate ``` And add to `config/blazer.yml`: ```yml uploads: url: postgres://... schema: uploads data_source: main ``` This feature requires PostgreSQL. Create a new schema just for uploads. ```sql CREATE SCHEMA uploads; ``` ## Data Sources Blazer supports multiple data sources :tada: Add additional data sources in `config/blazer.yml`: ```yml data_sources: main: url: <%= ENV["BLAZER_DATABASE_URL"] %> # timeout, smart_variables, linked_columns, smart_columns catalog: url: <%= ENV["CATALOG_DATABASE_URL"] %> # ... redshift: url: <%= ENV["REDSHIFT_DATABASE_URL"] %> # ... ``` ### Full List - [Amazon Athena](#amazon-athena) - [Amazon Redshift](#amazon-redshift) - [Apache Drill](#apache-drill) - [Apache Hive](#apache-hive) - [Apache Ignite](#apache-ignite) - [Apache Spark](#apache-spark) - [Cassandra](#cassandra) - [Druid](#druid) - [Elasticsearch](#elasticsearch) - [Google BigQuery](#google-bigquery) - [IBM DB2 and Informix](#ibm-db2-and-informix) - [InfluxDB](#influxdb) - [MongoDB](#mongodb-1) - [MySQL](#mysql-1) - [Neo4j](#neo4j) - [Oracle](#oracle) - [PostgreSQL](#postgresql-1) - [Presto](#presto) - [Salesforce](#salesforce) - [Socrata Open Data API (SODA)](#socrata-open-data-api-soda) - [Snowflake](#snowflake) - [SQLite](#sqlite) - [SQL Server](#sql-server) You can also [create an adapter](#creating-an-adapter) for any other data store. **Note:** In the examples below, we recommend using environment variables for urls. ```yml data_sources: my_source: url: <%= ENV["BLAZER_MY_SOURCE_URL"] %> ``` ### Amazon Athena Add [aws-sdk-athena](https://github.com/aws/aws-sdk-ruby) and [aws-sdk-glue](https://github.com/aws/aws-sdk-ruby) to your Gemfile and set: ```yml data_sources: my_source: adapter: athena database: database output_location: s3://some-bucket/ ``` ### Amazon Redshift Add [activerecord6-redshift-adapter](https://github.com/kwent/activerecord6-redshift-adapter) or [activerecord5-redshift-adapter](https://github.com/ConsultingMD/activerecord5-redshift-adapter) to your Gemfile and set: ```yml data_sources: my_source: url: redshift://user:password@hostname:5439/database ``` ### Apache Drill Add [drill-sergeant](https://github.com/ankane/drill-sergeant) to your Gemfile and set: ```yml data_sources: my_source: adapter: drill url: http://hostname:8047 ``` ### Apache Hive Add [hexspace](https://github.com/ankane/hexspace) to your Gemfile and set: ```yml data_sources: my_source: adapter: hive url: sasl://user:password@hostname:10000/database ``` Use a [read-only user](https://cwiki.apache.org/confluence/display/Hive/LanguageManual+Authorization). Requires [HiveServer2](https://cwiki.apache.org/confluence/display/Hive/Setting+Up+HiveServer2). ### Apache Ignite Add [ignite-client](https://github.com/ankane/ignite-ruby) to your Gemfile and set: ```yml data_sources: my_source: url: ignite://user:password@hostname:10800 ``` ### Apache Spark Add [hexspace](https://github.com/ankane/hexspace) to your Gemfile and set: ```yml data_sources: my_source: adapter: spark url: sasl://user:password@hostname:10000/database ``` Use a read-only user. Requires the [Thrift server](https://spark.apache.org/docs/latest/sql-distributed-sql-engine.html). ### Cassandra Add [cassandra-driver](https://github.com/datastax/ruby-driver) to your Gemfile and set: ```yml data_sources: my_source: url: cassandra://user:password@hostname:9042/keyspace ``` ### Druid Enable [SQL support](http://druid.io/docs/latest/querying/sql.html#configuration) on the broker and set: ```yml data_sources: my_source: adapter: druid url: http://hostname:8082 ``` ### Elasticsearch Add [elasticsearch](https://github.com/elastic/elasticsearch-ruby) and [elasticsearch-xpack](https://github.com/elastic/elasticsearch-ruby/tree/master/elasticsearch-xpack) to your Gemfile and set: ```yml data_sources: my_source: adapter: elasticsearch url: http://user:password@hostname:9200 ``` ### Google BigQuery Add [google-cloud-bigquery](https://github.com/GoogleCloudPlatform/google-cloud-ruby/tree/master/google-cloud-bigquery) to your Gemfile and set: ```yml data_sources: my_source: adapter: bigquery project: your-project keyfile: path/to/keyfile.json ``` ### IBM DB2 and Informix Add [ibm_db](https://github.com/ibmdb/ruby-ibmdb) to your Gemfile and set: ```yml data_sources: my_source: url: ibm-db://user:password@hostname:50000/database ``` ### InfluxDB Add [influxdb](https://github.com/influxdata/influxdb-ruby) to your Gemfile and set: ```yml data_sources: my_source: adapter: influxdb url: http://user:password@hostname:8086/database ``` Supports [InfluxQL](https://docs.influxdata.com/influxdb/v1.8/query_language/explore-data/) ### MongoDB *Requires MongoDB < 4.2 at the moment* Add [mongo](https://github.com/mongodb/mongo-ruby-driver) to your Gemfile and set: ```yml data_sources: my_source: url: mongodb://user:password@hostname:27017/database ``` ### MySQL Add [mysql2](https://github.com/brianmario/mysql2) to your Gemfile (if it’s not there) and set: ```yml data_sources: my_source: url: mysql2://user:password@hostname:3306/database ``` ### Neo4j Add [neo4j-core](https://github.com/neo4jrb/neo4j-core) to your Gemfile and set: ```yml data_sources: my_source: adapter: neo4j url: http://user:password@hostname:7474 ``` ### Oracle Add [activerecord-oracle_enhanced-adapter](https://github.com/rsim/oracle-enhanced) and [ruby-oci8](https://github.com/kubo/ruby-oci8) to your Gemfile and set: ```yml data_sources: my_source: url: oracle-enhanced://user:password@hostname:1521/database ``` ### PostgreSQL Add [pg](https://github.com/ged/ruby-pg) to your Gemfile (if it’s not there) and set: ```yml data_sources: my_source: url: postgres://user:password@hostname:5432/database ``` ### Presto Add [presto-client](https://github.com/treasure-data/presto-client-ruby) to your Gemfile and set: ```yml data_sources: my_source: url: presto://user@hostname:8080/catalog ``` ### Salesforce Add [restforce](https://github.com/restforce/restforce) to your Gemfile and set: ```yml data_sources: my_source: adapter: salesforce ``` And set the appropriate environment variables: ```sh SALESFORCE_USERNAME="username" SALESFORCE_PASSWORD="password" SALESFORCE_SECURITY_TOKEN="security token" SALESFORCE_CLIENT_ID="client id" SALESFORCE_CLIENT_SECRET="client secret" SALESFORCE_API_VERSION="41.0" ``` Supports [SOQL](https://developer.salesforce.com/docs/atlas.en-us.soql_sosl.meta/soql_sosl/sforce_api_calls_soql.htm) ### Socrata Open Data API (SODA) Set: ```yml data_sources: my_source: adapter: soda url: https://soda.demo.socrata.com/resource/4tka-6guv.json app_token: ... ``` Supports [SoQL](https://dev.socrata.com/docs/functions/) ### Snowflake First, install ODBC. For Homebrew, use: ```sh brew install unixodbc ``` For Ubuntu, use: ```sh sudo apt-get install unixodbc-dev ``` For Heroku, use the [Apt buildpack](https://github.com/heroku/heroku-buildpack-apt) and create an `Aptfile` with: ```text unixodbc-dev https://sfc-repo.snowflakecomputing.com/odbc/linux/2.21.5/snowflake-odbc-2.21.5.x86_64.deb ``` > This installs the driver at `/app/.apt/usr/lib/snowflake/odbc/lib/libSnowflake.so` Then, download the [Snowflake ODBC driver](https://docs.snowflake.net/manuals/user-guide/odbc-download.html). Add [odbc_adapter](https://github.com/localytics/odbc_adapter) to your Gemfile and set: ```yml data_sources: my_source: adapter: snowflake conn_str: Driver=/path/to/libSnowflake.so;uid=user;pwd=password;server=host.snowflakecomputing.com ``` ### SQLite Add [sqlite3](https://github.com/sparklemotion/sqlite3-ruby) to your Gemfile and set: ```yml data_sources: my_source: url: sqlite3:path/to/database.sqlite3 ``` ### SQL Server Add [tiny_tds](https://github.com/rails-sqlserver/tiny_tds) and [activerecord-sqlserver-adapter](https://github.com/rails-sqlserver/activerecord-sqlserver-adapter) to your Gemfile and set: ```yml data_sources: my_source: url: sqlserver://user:password@hostname:1433/database ``` ## Creating an Adapter Create an adapter for any data store with: ```ruby class FooAdapter < Blazer::Adapters::BaseAdapter # code goes here end Blazer.register_adapter "foo", FooAdapter ``` See the [Presto adapter](https://github.com/ankane/blazer/blob/master/lib/blazer/adapters/presto_adapter.rb) for a good example. Then use: ```yml data_sources: my_source: adapter: foo url: http://user:password@hostname:9200/ ``` ## Query Permissions Blazer supports a basic permissions model. 1. Queries without a name are unlisted 2. Queries whose name starts with `#` are only listed to the creator 3. Queries whose name starts with `*` can only be edited by the creator ## Learn SQL Have team members who want to learn SQL? Here are a few great, free resources. - [The Data School](https://dataschool.com/learn-sql/) - [SQLBolt](https://sqlbolt.com/) ## Useful Tools For an easy way to group by day, week, month, and more with correct time zones, check out [Groupdate.sql](https://github.com/ankane/groupdate.sql). ## Standalone Version Looking for a standalone version? Check out [Ghost Blazer](https://github.com/buren/ghost_blazer). ## Performance By default, queries take up a request while they are running. To run queries asynchronously, add to your config: ```yml async: true ``` **Note:** Requires Rails 5+ and caching to be enabled. If you have multiple web processes, your app must use a centralized cache store like Memcached or Redis. ```ruby config.cache_store = :mem_cache_store ``` ## Archiving Archive queries that haven’t been viewed in over 90 days. ```sh rake blazer:archive_queries ``` ## Content Security Policy If views are stuck with a `Loading...` message, there might be a problem with strict CSP settings in your app. This can be checked with Firefox or Chrome dev tools. You can allow Blazer to override these settings for its controllers with: ```yml override_csp: true ``` ## Upgrading ### 2.3 To archive queries, create a migration ```sh rails g migration add_status_to_blazer_queries ``` with: ```ruby add_column :blazer_queries, :status, :string Blazer::Query.update_all(status: "active") ``` ### 2.0 To use Slack notifications, create a migration ```sh rails g migration add_slack_channels_to_blazer_checks ``` with: ```ruby add_column :blazer_checks, :slack_channels, :text ``` ## History View the [changelog](https://github.com/ankane/blazer/blob/master/CHANGELOG.md) ## Thanks Blazer uses a number of awesome open source projects, including [Rails](https://github.com/rails/rails/), [Vue.js](https://github.com/vuejs/vue), [jQuery](https://github.com/jquery/jquery), [Bootstrap](https://github.com/twbs/bootstrap), [Selectize](https://github.com/brianreavis/selectize.js), [StickyTableHeaders](https://github.com/jmosbech/StickyTableHeaders), [Stupid jQuery Table Sort](https://github.com/joequery/Stupid-Table-Plugin), and [Date Range Picker](https://github.com/dangrossman/bootstrap-daterangepicker). Demo data from [MovieLens](https://grouplens.org/datasets/movielens/). ## Want to Make Blazer Better? That’s awesome! Here are a few ways you can help: - [Report bugs](https://github.com/ankane/blazer/issues) - Fix bugs and [submit pull requests](https://github.com/ankane/blazer/pulls) - Write, clarify, or fix documentation - Suggest or add new features Check out the [dev app](https://github.com/ankane/blazer-dev) to get started.