Your workspace


An Orbital Workspace is a collection of schemas, API specs and Taxi projects that describe data sources (APIs, Databases, Message queues and Serverless functions) provide a description of the data and capabilities they provide.

These descriptions are used to generate integration on-the-fly, and power your data catalog.

Data sources are described using some form of API spec language (Protobuf, OpenAPI, Avro, Taxi), along with additional metadata that defines how concepts are related semantically.

There’s lots of different ways to tell Orbital about your data sources - we believe that Orbital should fit with the way you work today.


Generally there’s at least the following components:

  • A taxonomy project (built using Taxi) that defines the terms embedded in your API contracts. This is most commonly stored in Git, or locally on your machine (when you’re first getting started).
  • A series of API specs, enriched with metadata using terms from your Taxonomy project.

Your core taxonomy

The core taxonomy is a collection of terms that describe your data attributes. Think of them as simple tags, which describe your data - such as FirstName, LastName, etc.

These tags provide In practice, these tags are actually semantic types, defined using Taxi.

type FirstName inherits String
type LastName inherits String
type CustomerId inherits Int

By using Taxi, you get the benefit of a full type system, rich build tooling to verify correctness, and an open source ecosystem to build your own plugins.

A common pattern for building a core taxonomy is:

  • Created as a standalone project, independent of any specific API / Service
  • Lives in a Git repository
  • Orbital monitors the git repository and automatically deploys changes.

Services and data Sources

Services and data sources are described using existing API specs (OpenAPI / Protobuf / Json Schema, etc), enriched with semantic tags from your core taxonomy.

# An extract of the ShoppingCartApi OpenAPI spec:
custId: # Field name
> name: CustomerId # <-- Semantic type
type: string
import "org/taxilang/dataType.proto";

message Customer {
optional string customer_name = 1 [(taxi.dataType)="CustomerName"];
>     optional int32 customer_id = 2 [(taxi.dataType)="CustomerId"];

For more information, follow our guides on using OpenApi or Protobuf to describe your data sources.

Using Taxi

Another option is authoring your API specs directly in Taxi:

model Customer {
  id : CustomerId inherits Int
  firstName : CustomerFirstName inherits Sring

service CustomerService {
  @HttpOperation(method = "GET", url = "/shoppingCart/{CustomerId}")
  operation getShoppingCartByCustomerId(CustomerId):ShoppingCart

Alternatively, you can just generate schema definitions directly from code, or author your definitions in Taxi.

Once you choose how to describe your services, you simply need to publish your specs to Orbital

Publishing and updating your specs

How and when you choose to publish / update these sources is up to you - teams tend to have different preferences around this.

You’re also free to mix and match - to pick the publication method that best works for your tech and team working style.

The following publication methods are available:

  • Pushing API specs to Orbital (eg., when your microservices start)
  • Pushing updates to Orbital manually (eg., within a CI/CD pipeline)
  • Having Orbital poll sources for changes

Pushing API specs directly from your apps

Applications can generate Taxi, direct from code, and publish to Orbital.

  • Suits microservices and teams who prefer generating their API specs from code
  • Currently only Java / Kotlin with Spring Boot is supported, but other SDKs are planned - reach out to tell us about your usecase.

Learn more about this approach here

Pulling API specs from Orbital

Orbital can be configured to fetch API specs (projects) from either Git repositories or the file system where Orbital is running (intended for local development).

In addition to storing your core taxonomy in Git, you can fetch other API specs (such as Protobuf or OpenApi) from a git repository.

Orbital will poll your git repo, and automatically update as changes are merged into your target branch.

For more information, read about pulling API specs from git or reading API specs from local disk

Workspace.conf file

The workspace.conf file is a HOCON file that describes all the locations to pull code from. (Data sources that are pushing their API specs are not included.)

Schemas can be pulled from multiple different formats and approaches. The configuration for these repositories is defined in a HOCON format file.

Passing a workspace.conf file

By default, the configuration file is called workspace.conf. However, the location of the file can be changed by setting --vyne.workspace.config-file=/path/to/workspace.conf on the command line, or through any of the supported configuration overriding mechanisms.

Reading workspace.conf from git

For production deployments, it’s often preferable to read config directly from git. This is useful both for Infrastructure-as-code, as well as for deploying to services where there’s ephemeral storage (like AWS ECS)

You can configure Orbital to read a workspace.conf file from a git repository, by passing the following command line settings:

vyne.workspace.git.urlThe url of the Git repo to clone. If pulling from Github, Gitlab or Azure DevOps, use a personal access token in the url (eg: or https://[username]:[personalAccessToken][yourOrgName]/[yourProjectName]/_git/[yourRepoName])
vyne.workspace.git.branchThe name of the branch to check out
vyne.workspace.git.pathOptional The path within the repo to read the config file. Defaults to workspace.conf

Using a single-project workspace

For demos / test config, it’s sometimes useful to start Orbital with a single project configured.

You can by-pass the workspace config, and point Orbital directly to a single local file-system project.

To do this, start Orbital with --vyne.workspace.project-file=/path/to/taxi.conf

Configuration conventions

Durations are defined using ISO 8601 formats. For example:

  • 1 Day = P1D
  • 3 Seconds = PT3S

Kitchen sink configuration example

file {
git {
Data pipelines
Pulling schemas from git