Find Open-Source Alternatives
Discover powerful open-source replacements for popular commercial software. Save on costs, gain transparency, and join a community of developers.
Discover powerful open-source replacements for popular commercial software. Save on costs, gain transparency, and join a community of developers.
Compare community-driven replacements for ServiceNow in workflow orchestration tools workflows. We curate active, self-hostable options with transparent licensing so you can evaluate the right fit quickly.
These projects match the most common migration paths for teams replacing ServiceNow.
Why teams pick it
Teams requiring self-hosted, on-premises data orchestration
Run on infrastructure you control
Recent commits in the last 6 months
MIT, Apache, and similar licenses
Counts reflect projects currently indexed as alternatives to ServiceNow.
Why teams pick it
Keep customer data in-house with privacy-focused tooling.
Fast, flexible Go library for building robust scientific pipelines
Why teams choose it
Watch for
Requires familiarity with Go programming
Migration highlight
Genome variant calling pipeline
Orchestrates alignment, sorting, and annotation tools with parallel execution, producing reproducible results and audit logs.
Cloud-native orchestrator for developing and maintaining data assets
Pythonic workflow engine for resilient, observable data pipelines
Build modern data pipelines locally with visual, modular code
Programmatically author, schedule, and monitor workflows as code
Scalable, portable, reproducible pipelines powered by dataflow programming
Scalable workflow orchestrator powering Netflix’s data platform
Lightweight Go workflow orchestrator for payments and fulfillment
Visual, code‑first data pipelines without YAML or frameworks
Event-Driven Declarative Orchestration Platform for Modern Workflows
Modern, low-code platform for high-performance data workflow orchestration
Lightweight workflow engine with declarative YAML and Web UI
Durable step functions that replace queues and scheduling
Scalable orchestration engine for resilient microservice workflows
Self-hosted platform to turn scripts into internal apps
Teams replacing ServiceNow in workflow orchestration tools workflows typically weigh self-hosting needs, integration coverage, and licensing obligations.
Tip: shortlist one hosted and one self-hosted option so stakeholders can compare trade-offs before migrating away from ServiceNow.
Why teams choose it
Watch for
Python-centric approach may require learning curve for non-Python teams
Migration highlight
Machine Learning Pipeline Orchestration
Define feature tables, training datasets, and models as assets with automatic dependency tracking and lineage from raw data to deployed models
Why teams choose it
Watch for
Limited to the Python ecosystem
Migration highlight
Daily ETL job
Automates extraction, transformation, and loading of data each night with retries and monitoring.
Why teams choose it
Watch for
Advanced orchestration and AI features require Mage Pro upgrade
Migration highlight
Google Sheets to Snowflake ETL
Automate data extraction from Google Sheets, apply Python transformations, and load results into Snowflake on a daily schedule.
Why teams choose it
Watch for
Not designed for streaming or high-volume data transfer between tasks
Migration highlight
ETL Pipeline Orchestration
Coordinate extraction, transformation, and loading across databases, data warehouses, and cloud storage with dependency-aware scheduling and retry logic.
Why teams choose it
Watch for
Learning curve for the Nextflow DSL and Groovy syntax
Migration highlight
Genome variant calling at scale
Run a reproducible variant‑calling pipeline on local, SLURM, or AWS Batch without rewriting code.
Why teams choose it
Watch for
Requires Java 21, Gradle, and Docker for operation
Migration highlight
ETL pipeline automation
Streamlines daily data extraction, transformation, and loading across hundreds of jobs
Why teams choose it
Watch for
Limited to Go ecosystem; not language‑agnostic
Migration highlight
Card payment processing
Orchestrates initiation, encryption, tokenization, OTP verification, and invoice generation in a single reusable workflow.
Why teams choose it
Watch for
No longer actively maintained; future updates uncertain
Migration highlight
Train and compare regression models
Iterate on multiple models within a single visual pipeline, tracking performance and code versions.
Why teams choose it
Watch for
YAML-based configuration may require learning curve for teams unfamiliar with declarative syntax
Migration highlight
Event-Driven Data Pipelines
Automatically trigger ETL workflows when new files arrive in S3 or messages land in Kafka, processing data in real-time without manual intervention.
Why teams choose it
Watch for
Java‑centric codebase may steepen learning curve for non‑Java teams
Migration highlight
ETL pipeline orchestration across hybrid clouds
Automates data extraction, transformation, and loading across AWS, GCP, and on-premise clusters with versioned workflows and fail-over handling.
Why teams choose it
Watch for
Designed for small-to-medium projects; may lack enterprise-scale features
Migration highlight
Migrating Legacy Cron Jobs
Visualize implicit dependencies between hundreds of cron scripts and manage reruns through a Web UI instead of SSH sessions.
Why teams choose it
Watch for
Requires integration of Inngest SDKs into existing code
Migration highlight
User‑specific image processing pipeline
Processes and resizes uploaded images per user with concurrency limits, automatically retrying failed steps.
Why teams choose it
Watch for
Requires Java 17+ runtime
Migration highlight
Order fulfillment pipeline
Coordinates inventory check, payment processing, shipping label creation, and notification across services with automatic retries on failures.
Why teams choose it
Watch for
Self‑hosting requires operational knowledge of Docker/Kubernetes
Migration highlight
Ad‑hoc data extraction
A Python script pulls data from a database, UI lets analysts run it on demand, and results are saved back to Postgres.