---
id: newtools
version: "2.2.489"
license: MIT
license_treatment: permissive
maintenance: abandoned
---

# newtools — Provides useful libraries for processing large data sets.

License: permissive · Maintenance: abandoned · Downloads: 83.0K/mo

## What it is and what it does

newtools is a data processing library developed by Deductive for working with large datasets on AWS using Pandas. It bundles utilities the team found useful in their own projects, positioned as a toolkit for data engineering workflows on cloud infrastructure.

The package requires Python >=3.6 and distributes as a source archive, meaning installation involves build steps. With abandoned maintenance status and no updates since its last release 1144 days ago, the library is not actively developed or supported, which may create compatibility gaps with current versions of Pandas, AWS SDKs, or Python itself.

Use it for:

- Processing large datasets stored in AWS S3 using Pandas DataFrames
- Building data pipelines that integrate AWS services with Pandas workflows
- Legacy projects already using newtools that require maintenance
- Leveraging pre-built utilities for AWS data engineering tasks

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides libraries for processing large data sets on AWS with Pandas.

No. The package is abandoned with no maintenance for over three years, high install friction from source distribution, and unclear documentation of utilities or compatibility with current Pandas and AWS SDK versions. For new projects, use actively maintained alternatives; for existing projects, consider migrating to supported libraries.

## Install

pip install newtools
uv add newtools
poetry add newtools

## Installing newtools

Before you install: High install friction due to source distribution format. Package is abandoned with no maintenance activity since its last release, raising concerns about compatibility with current Python versions.

License in practice: MIT license permits commercial and private use with minimal restrictions, requiring only license and copyright notice retention.

Quickstart:

pip install newtools
import newtools

Source distribution format requires build tools; compatibility with current Pandas and Python versions unknown due to abandoned status.

Verify before relying:

- What specific AWS services or data patterns the library targets
- Whether the package remains compatible with current Pandas versions
- What runtime dependencies exist beyond those listed
- Whether the library has known issues with Python versions beyond 3.6

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: high
- Maintenance: abandoned
- Downloads: 83.0K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

AWS data processing pandas, large dataset handling AWS, pandas utilities AWS, data engineering libraries, AWS data tools, aws-integration, data-processing, abandoned

[View on SkillFed](https://skillfed.io/packages/newtools) · [View on PyPI](https://pypi.org/project/newtools/)