Added four new packages to dlt-hub: GitHub, Zendesk, Jira, and Asana.

[dat-a-man]

Description

Tell us about your new package!

Link to your package's repository:
Added four packages here that are:

• Github - repo
• Zendesk - repo
• Jira - repo
• Asana - repo

Checklist

This checklist is a cut down version of the best practices that we have identified as the package hub has grown. Although meeting these checklist items is not a prerequisite to being added to the Hub, we have found that packages which don't conform provide a worse user experience.

First run experience

• (Required): The package includes a licence file detectable by GitHub, such as the Apache 2.0 or MIT licence.
• The package includes a README which explains how to get started with the package and customise its behaviour
• The README indicates which data warehouses/platforms are expected to work with this package

Customisability

• The package uses ref or source, instead of hard-coding table references.

Packages for data transformation (delete if not relevant):

• provide a mechanism (such as variables) to customise the location of source tables.
• do not assume database/schema names in sources.

Dependencies

Dependencies on dbt Core

• The package has set a supported require-dbt-version range in dbt_project.yml. Example: A package which depends on functionality added in dbt Core 1.2 should set its require-dbt-version property to [">=1.2.0", "<2.0.0"].

Dependencies on other packages defined in packages.yml:

• Dependencies are imported from the dbt Package Hub when available, as opposed to a git installation.
• Dependencies contain the widest possible range of supported versions, to minimise issues in dependency resolution.
• In particular, dependencies are not pinned to a patch version unless there is a known incompatibility.

Interoperability

• The package does not override dbt Core behaviour in such a way as to impact other dbt resources (models, tests, etc) not provided by the package.
• The package uses the cross-database macros built into dbt Core where available, such as {{ dbt.except() }} and {{ dbt.type_string() }}.
• The package disambiguates its resource names to avoid clashes with nodes that are likely to already exist in a project. For example, packages should not provide a model simply called users.

Versioning

• (Required): The package's git tags validates against the regex defined in hubcap/version.py (examples).
• The package's version follows the guidance of Semantic Versioning 2.0.0. (Note in particular the recommendation for production-ready packages to be version 1.0.0 or above)

[joellabes]

(Required): The package includes a licence file detectable by GitHub, such as the Apache 2.0 or MIT licence.

You've ticked this, but none of these have a licence.

[dat-a-man]

I've now added an Apache 2.0 license file to the package. It should be detectable by GitHub. Let me know if there are any further issues.

[joellabes]

Looks good! thank you.

You might find that you run afoul of this with some users:

The package disambiguates its resource names to avoid clashes with nodes that are likely to already exist in a project. For example, packages should not provide a model simply called users.

In the event that you do, you can use a two-part ref (e.g. {{ ref('jira_pipeline', 'stg_projects') }}) to disambiguate.