Two-way sync
Changes in Airtable or GitHub instantly reflect in both systems. No stale data, no manual imports.
Keep Airtable and GitHub in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Connecting GitHub to Airtable brings engineering activity into a workspace the rest of the organization uses. GitHub Issues and Pull Requests sync into Airtable Records so program managers track delivery in Views, without asking engineers to leave their Repositories.
Stacksync mirrors Labels and Milestones, Repositories, Issues, Pull Requests from GitHub into Fields, Views, Linked records, Attachments in Airtable and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into GitHub, so the tool and the database never disagree.
GitHub Issues and Pull Requests sync into Airtable Records organized by sprint and status Views.
GitHub Releases and Commits land in an Airtable Table linked to launch-planning Records via Linked records.
Workflow runs (Actions) sync into Airtable Fields so teams monitor build health per Repository.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Airtable objects | GitHub objects | How this pairing syncs | |
|---|---|---|---|
| Views Filtered subsets of a table that can scope which records a sync reads. | Issues Synced two-way with project trackers and support tools, including labels and assignees. | Views is specific to Airtable and Issues to GitHub — each maps to any object or custom field on the other side. | |
| Linked records Cross-table references that carry relationships between synced tables. | Pull Requests Review state, status checks, and merge status feed engineering dashboards and workflow tools. | Linked records is specific to Airtable and Pull Requests to GitHub — each maps to any object or custom field on the other side. | |
| Attachments File fields exposed as expiring URLs that syncs can mirror to other systems. | Commits Read-only history used to link code activity to tickets and releases. | Attachments is specific to Airtable and Commits to GitHub — each maps to any object or custom field on the other side. | |
| Collaborators User fields useful for mapping record ownership to accounts in a CRM or database. | Releases Tagged versions synced into changelogs, CRMs, or customer-notification systems. | Collaborators is specific to Airtable and Releases to GitHub — each maps to any object or custom field on the other side. | |
| Bases Top-level containers; each base has its own API endpoint and schema. | Workflow runs (Actions) CI results synced into incident and reporting systems. | Bases is specific to Airtable and Workflow runs (Actions) to GitHub — each maps to any object or custom field on the other side. | |
| Tables Map to sync tables; schema is readable through the base metadata endpoints. | Organizations and Teams Membership data synced with identity systems and HR directories for access reviews. | Tables is specific to Airtable and Organizations and Teams to GitHub — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionAirtable pushes changes as they happen — webhook events backed by change data capture. Incremental updates: changes in Airtable are detected and synced efficiently in realtime (webhook-based — creator role required to create webhooks).
DeliveryEach detected change is written to GitHub through its API, with automatic retries and rate-limit backoff.
DetectionGitHub notifies Stacksync of record changes through webhook events. Webhooks with a broad event catalog covering issues, pull requests, pushes, and releases.
DeliveryEach detected change is written to Airtable through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Airtable–GitHub connection.
Changes in Airtable or GitHub instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Airtable or GitHub data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Airtable or GitHub record.
Track your Airtable ⇄ GitHub sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Airtable and GitHub.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Airtable and GitHub with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Airtable and GitHub objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Airtable and GitHub: authenticate both systems, choose the objects to sync (such as Airtable's Views and Linked records), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Airtable and GitHub. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Airtable: Incremental updates: changes in Airtable are detected and synced efficiently in realtime (webhook-based — creator role required to create webhooks); formula fields don't emit change events and are re-synced every hour. On GitHub: Webhooks with a broad event catalog covering issues, pull requests, pushes, and releases; polling for backfill. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the GitHub side: Labels and Milestones, Repositories, Issues, Pull Requests, plus custom fields where GitHub exposes them. On the Airtable side: Fields, Views, Linked records, Attachments. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Airtable and GitHub: Delivery tracker; Release log; CI visibility. GitHub Issues and Pull Requests sync into Airtable Records organized by sprint and status Views.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 492 integrations available for Airtable and GitHub.