newtools
Provides useful libraries for processing large data sets.
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Source distribution format requires build tools; compatibility with current Pandas and Python versions unknown due to abandoned status.
- 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 · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions, requiring only license and copyright notice retention.
last release 2023-06-27 (1144 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 82,998 downloads/mo, #14,109 on PyPI
Alternatives
Verify before relying
pip install newtools
import newtools- 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
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 on this page. Verify before relying on it.
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
newtools on PyPI
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.
Source distribution format requires build tools; compatibility with current Pandas and Python versions unknown due to abandoned status.
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
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 the current Python release >=3.6 |
| Install friction | High. Source build required |
| Runtime dependencies | None |
| Maintenance | Abandoned 1,144 days since the last release |
| First released | |
| Downloads | 82,998 / month, #14,109 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3.6Topic :: Software Development :: Libraries |
Evidence: newtools-2.2.489.tar.gz
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “AWS data processing pandas”
- newtoolsProvides libraries for processing large data sets on AWS with Pandas.
- dataengineDataengine is a Python framework for orchestrating data pipelines…
- awswranglerAWS SDK for pandas integrates pandas DataFrames with AWS data…
Give your agent the search over MCP, or paste the wish link into any chat.
More Libraries packages
urllib3 is an HTTP client library that provides thread-safe connection pooling, SSL/TLS verification, multipart file uploads, request retries, compression support, and proxy handling for Python applications.
Requests is a Python HTTP library that simplifies sending HTTP/1.1 requests with automatic handling of headers, authentication, cookies, and response parsing.
Pluggy provides a plugin system that lets you define hook specifications and register implementations to be called in sequence, enabling extensible Python applications without tight coupling.
Install it if you're building an extensible application or framework.
Provides parsing, arithmetic, and recurrence rule computation for dates and times, with timezone support and iCalendar RFC compliance.
Install it if you need to parse flexible date strings, compute relative dates, handle timezones, or work with recurrence rules—it's the de facto choice for these tasks.
Six provides utility functions to write Python code that runs on both Python 2.7 and Python 3.3+, smoothing over language differences between the two versions.
pytest is a testing framework that lets you write test functions using plain assert statements and automatically discovers and runs them, with detailed failure reporting.
See also awkward-pandas · pandas · tablib · dataengine · agate · pandas-datareader · pandas-stubs · mapply · awswrangler · koalas