Data Pipelines

Pumpify

Combine multiple streams into one duplex stream.

Status
UnmaintainedNo commits in 803 days.
Last checked
Checked · Oct 10, 2026
License
Open source
Pricing
Free tier · from $0

What it is

Pumpify is a Node.js library that allows developers to combine an array of streams into a single duplex stream, simplifying complex data processing pipelines. It's particularly useful for handling streaming data in real-time applications.

Pumpify stands out as an efficient and lightweight Node.js library specifically designed to simplify the process of combining multiple streams into one duplex stream, making it ideal for real-time applications that require complex data manipulation.

When it fits — and when it doesn’t

A good fit for

  • Developers building real-time applications that require complex stream manipulation.

  • Teams working on Node.js projects where efficient data processing is critical.

  • Projects requiring the combination of multiple streams into one for simplified handling.

Look elsewhere if

  • Applications that do not involve streaming data or require minimal data transformation.

  • Developers looking for a cloud-based service rather than a local library solution.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support, primarily focused on JavaScript/Node.js

    The library is built specifically for Node.js and may not integrate well with other runtime environments or languages.

  2. 02

    Complex setup for intricate pipelines

    Configuring multiple streams into a single duplex stream can be complex, especially when dealing with error handling and edge cases in real-time data processing.

  3. 03

    Small community and limited third-party support

    Pumpify has a relatively small user base compared to more established streaming libraries like Readable Streams or Duplex streams, which can limit the availability of plugins and community-driven solutions.

  4. 04

    Performance may degrade with very large data sets

    Real-time processing of extensive data streams could lead to performance bottlenecks if not optimized correctly, impacting throughput and latency.

What it does well

  • Combines multiple streams into a single duplex stream.

  • Simplifies complex data processing pipelines.

  • Efficient for handling streaming data in real-time applications.

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Pumpify

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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