spark

FAQ

1) What is Spark?

Spark is a modern open-source repository foundation focused on discoverability, onboarding, and long-term growth.

2) Is Spark tied to a specific language/framework?

No. Spark is intentionally stack-agnostic.

3) How do I start using it?

Clone the repo and follow README.md and examples/README.md.

4) Where should I ask questions?

Use GitHub Discussions for questions and idea exchange.

5) Where do I report bugs?

Use the bug report issue template.

6) How do I request new features?

Use the feature request issue template.

7) How do I contribute?

Read CONTRIBUTING.md and submit a PR using the PR template.

8) What license is used?

MIT. See LICENSE.

9) How is security handled?

See SECURITY.md and report privately via advisory/email.

10) Where can I track planned work?

See ROADMAP.md.

11) How are releases documented?

In CHANGELOG.md using Keep a Changelog format.

12) Who reviews changes?

@rudra496 is the code owner via .github/CODEOWNERS.

13) Is there an API reference for Spark modules?

Yes. See docs/API.md.

14) Are there runnable examples?

Yes. See examples/basic-usage, examples/advanced-config, and examples/integrations.

15) Does Spark support plugins and integrations?

Yes. Use spark.plugins.PluginManager and spark.integrations.IntegrationRegistry.

16) Does Spark support multiple languages for messages?

Yes. See spark.i18n and docs/I18N.md.

17) Is there a command-line interface?

Yes. Use python3 -m spark and see command examples in README.md.

18) How can I prepare a production release safely?

Use semantic tags (v*.*.*), ensure CHANGELOG includes the tag section, and rely on the release workflow preflight checks.

19) How do I get improvement suggestions for my repository?

Run python3 -m spark assess --root . (or add --json for automation-friendly output).

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