Transform fragmented data flows into coherent, self-healing pipelines – a declarative orchestration framework for modern data ecosystems that treats pipeline failures as resolvable states rather than dead ends.

Every data pipeline eventually encounters turbulence. Connections drop. Schemas drift. APIs throttle. Traditional orchestrators treat these as terminal events, triggering alerts and human intervention. SynthEra Pipeline Orchestrator takes a different philosophy: it treats failure as an expected phase of execution, not an exception.

Inspired by the way a video downloader must negotiate with hundreds of different streaming protocols and site architectures, SynthEra adapts to heterogeneous data sources with the same agility. Just as a media downloader extracts video from any website regardless of its rendering quirks, SynthEra extracts data from any source regardless of its operational quirks – and then orchestrates the entire flow from ingestion to delivery.

This isn't another DAG-based scheduler. This is a resilience-first pipeline fabric that learns from every execution path.

SynthEra is built around three core principles:

1. Declarative over Imperative – You describe what the pipeline should accomplish, not how to sequence every step. The orchestrator determines the optimal execution path.
2. State as a First-Class Citizen – Every node, edge, and artifact has an observable state. You can query any point in the pipeline at any time.
3. Graceful Degradation – When a component fails, the orchestrator doesn't halt. It reroutes, rewrites, or renegotiates the data flow around the obstacle.

Think of it like a logistics network: if a highway closes, trucks don't stop – they take surface streets. SynthEra applies this same logic to data movement.

Each node is a discrete processing step (extract, transform, validate, load, notify). Nodes are composed into directed acyclic graphs or, for advanced use cases, directed cyclic graphs with convergence gates.

The glue between pipeline stages. Handlers define how data passes between nodes, including serialization, compression, encryption, and routing rules.

A lightweight heartbeat monitor that checks pipeline health at configurable intervals. If a node stops responding, the Pulse Engine initiates a cascade of diagnostic probes.

Immutable audit trail of every pipeline execution. Every transform, every retry, every decision is logged with nanosecond precision and causal context.

Reusable modules that define how nodes behave under distress. Policies cover rate limiting, circuit breaking, throttling, and data buffering strategies.

SynthEra uses a configuration-driven setup – no complex scaffolding or project generation required. You define pipelines in YAML or JSON, and the orchestrator handles the rest.

Step 1: Define a Pipeline

pipeline:
  id: customer-360-sync
  schedule: "0 */6 * * *"
  nodes:
    - id: extract-crm
      type: rest_api
      endpoint: "https://api.crm.example.com/contacts"
      schema: schemas/contact.schema.json
    - id: transform-phone
      type: regex_normalize
      pattern: "[^0-9]"
      input: extract-crm
    - id: load-warehouse
      type: bigquery_insert
      dataset: analytics
      table: contacts_staging
      input: transform-phone

Step 2: Validate the Pipeline

synth validate my-pipeline.yaml

This checks schema compatibility, detects circular references, and estimates resource requirements.

Step 3: Launch and Observe

synth run my-pipeline.yaml --mode resilient

The --mode resilient flag activates all fallback and rerouting behaviors. Without it, SynthEra runs in strict mode (fail on first error).

SynthEra's web dashboard and CLI help text are available in 12 languages, including English, Spanish, French, German, Japanese, Korean, and Arabic. The language detection engine respects system locale, environment variables, and per-user preferences.

The pipeline configuration language itself is locale-agnostic – keywords are the same regardless of UI language, so teams collaborate across language barriers without changing pipeline code.

The dashboard isn't just a control panel – it's a observability lens that reveals the inner dynamics of your data flow. Key interface elements:

• Live Flow Canvas – Drag and rearrange pipeline nodes visually; the orchestrator updates execution order in real-time
• Failure Timeline – A Gantt-style chart showing when each node failed, retried, or succeeded, with color-coded severity
• Cost Projector – Estimates the compute and storage cost of each pipeline run before execution begins
• Alert Mesh – Configure notification channels (email, Slack, PagerDuty, custom webhooks) with priority escalation rules

SynthEra ships with smart defaults that cover 80% of common pipeline patterns:

• Default retry policy: 3 attempts with 30-second base backoff, 15-second jitter window
• Default timeout: 5 minutes per node execution
• Default buffer: 10 MB in-memory, spilling to disk when exceeded
• Default schema tolerance: 5% field drift before triggering reconciliation

These defaults can be overridden at the pipeline, node, or policy level.

SynthEra is designed to be extended without forking the core:

• Custom Connector SDK – Write your own adapters using a simple Python decorator pattern
• Policy Hooks – Inject custom logic at any of the 17 lifecycle events (pre_node, post_retry, on_compensate, etc.)
• Template Pipelines – Parameterized pipeline blueprints that accept environment variables at runtime
• Plugin Registry – Third-party plugins for transformations, validations, and notification channels

Extract data from a mix of REST APIs, database replicas, and file drops, then transform and load into a data warehouse – all with automatic fallback if any source becomes unavailable.

Synchronize customer records across data centers in North America, Europe, and Asia. SynthEra handles cross-region latency and eventual consistency automatically.

Maintain end-to-end audit trails for regulated data (GDPR, HIPAA, SOX). Every extraction, transformation, and load is recorded with cryptographic integrity checks.

Orchestrate feature engineering workflows that pull from historical data stores, compute aggregates, and push to feature stores – with automatic retraining triggers when data distributions shift.

SynthEra Pipeline Orchestrator is a tool for managing data workflows in legitimate enterprise and research environments. It is the sole responsibility of the user to ensure that their data processing activities comply with all applicable laws, regulations, and service terms. The creators of SynthEra do not condone the use of this software for unauthorized data extraction, circumvention of access controls, or any activity that violates the rights of data owners. By using this software, you acknowledge that you are solely responsible for the data you process and the pipelines you construct.

This project is licensed under the MIT License – see the LICENSE file for full details.

• Documentation – Comprehensive guides at https://docs.synthera.io (2025 edition)
• Discord – Real-time help from the community and core contributors
• Office Hours – Bi-weekly video calls where you can ask questions and suggest features (2026 schedule available on the website)