Software Alternatives & Startups

TinyURL VS NumPy

Compare TinyURL VS NumPy and see what are their differences

TinyURL

The first notable URL shortener, online since 2002. Branded short links on your own domain, with click analytics that count human and bot traffic separately, QR codes, editable destinations, bulk creation and a REST API.

Rating
0 reviews
Pricing
Freemium $11 / Monthly (Pro - 125 links/mo)
NumPy

NumPy is the fundamental package for scientific computing with Python

Rating
0 reviews
Pricing
Open source
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, NumPy seems to be a lot more popular than TinyURL. While we know about 122 links to NumPy, we've tracked only 6 mentions of TinyURL.

social mentions
6 vs 122
URL Shortener popularity
100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

TinyURL
NumPy
Website tinyurl.com numpy.org
Pricing
Freemium $11 / Monthly (Pro - 125 links/mo) Official pricing
Open source
Company Startup from the United States · 20 - 49 employees · 2002
Listed in

About TinyURL and NumPy

In their own words, as submitted to SaaSHub.

TinyURL
NumPy

TinyURL is a URL shortening and link management platform, and was the first notable URL shortener when it launched in January 2002. It now serves over 4.4 million registered users and has created billions of links. Free accounts cover 30 links a month, with links that never expire. Paid plans...

Read more about TinyURL

No description of NumPy yet.

Features and specs

What each product offers, as listed by its team.

TinyURL 8 features
NumPy 5 features
  • Ease of Use
    TinyURL offers a very simple interface that allows users to create shortened URLs quickly without needing to register or log in.
  • Custom Aliases
    Users have the option to create custom aliases for their shortened links, making them more memorable and meaningful.
  • Link Analytics
    Every link reports clicks over time, referrer, geography, device type, operating system and browser, with human and bot clicks counted separately and two years of history retained.
  • Links That Never Expire
    Links created on the free plan do not expire, so shortened URLs stay valid in print, packaging and archived content.
  • Branded Domains
    Shorten links on your own custom domain or subdomain rather than a shared one. One branded domain on the free plan, three on paid plans.
  • Editable Destinations
    A link destination can be changed after the link has been shared, so a URL already printed or posted can be repointed without being reissued.
  • QR Code Generation
    Generate QR codes for shortened links, for packaging, print and other offline placements.
  • REST API and Bulk Creation
    Documented REST API (OpenAPI 3.0, bearer-token auth) for link creation, updates and analytics retrieval, plus bulk batch endpoints for high-volume workflows.
  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Analysis

An editorial look at what each product does well and who it suits.

TinyURL
NumPy

Overall verdict

  • TinyURL is considered a good and reliable service for those who need to create short URLs for personal or professional purposes. It is especially valuable for its simplicity and no-cost offering, appealing to users who need straightforward URL shortening without additional features.

Why this product is good

  • TinyURL is a popular URL shortening service that allows users to convert long, cumbersome URLs into shorter, more manageable links. This is particularly useful for sharing links on social media, in emails, or in printed materials where space is limited. TinyURL is easy to use, doesn't require an account, and offers free shortening services. The ability to create custom aliases also adds a layer of personalization and memorability to the links.

Recommended for

    TinyURL is recommended for individuals, small businesses, and organizations that need a quick and simple way to shorten URLs for social media posts, email campaigns, print materials, or casual link sharing without requiring advanced tracking or analytics features.

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

Videos

Walkthroughs and reviews on video.

TinyURL 0 videos + Add
NumPy 3 videos + Add

No TinyURL videos yet. You could help us improve this page by suggesting one.

Learn NUMPY in 5 minutes - BEST Python Library!

More videos

  • - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
TinyURL
NumPy
100% 100%
0% 0%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing TinyURL and NumPy.

What makes your product unique?

TinyURL's answer

TinyURL has been running continuously since January 2002, which makes it the first notable URL shortening service and one of the oldest still operating. For a link shortener that longevity is the product, not trivia: a short link is only useful for as long as it still resolves, and links created here don't expire.

Three things set it apart day to day:

  • Human and bot clicks are reported separately. Most shorteners report raw click totals that quietly include crawlers and link-preview bots, so reported traffic reads higher than the real audience. Separating them means the numbers can be trusted for attribution.
  • Destinations stay editable after a link is published. A link already printed on packaging or posted to social can be repointed without reissuing it.
  • A permanent free tier, not a trial - 30 links a month, one branded domain, links that never expire.

Why should a person choose your product over its competitors?

TinyURL's answer

Three practical reasons, depending on what you need:

  • You want attribution you can trust. Analytics cover clicks over time, referrer, geography, device, OS, browser and language, retained for two years, with bot traffic separated out.
  • You want your own brand on the link. Bring your own domain or subdomain on any plan, with up to three branded domains on paid tiers.
  • You want links that outlive the campaign. Twenty-four years of continuous operation, and a free tier that doesn't expire, matter when a link is printed on something you can't reprint.

Pricing starts free and goes to $9/month billed annually ($11 month-to-month) for 125 links a month with unlimited tracked clicks. Bulk plans handle 50,000 links a month for agencies and high-volume senders, and there's a REST API for automating the whole lifecycle.

How would you describe the primary audience of your product?

TinyURL's answer

  • Marketing teams running campaigns across several channels who need per-link attribution rather than a single lumped traffic figure
  • Social media managers and creators working inside character limits, who want a branded link rather than a generic one
  • Agencies managing links for multiple clients, each on its own branded domain
  • Developers automating link creation and analytics through the REST API
  • Enterprises needing SLA-backed uptime and compliance support
  • Educational Institutions
  • The healthcare industry

It also has a long tail of individual users who simply need a link shortened, which the free tier covers without an account upgrade.

What's the story behind your product?

TinyURL's answer

Kevin Gilbertson, a web developer, launched TinyURL in January 2002 so he could link directly to newsgroup postings, which at the time had long and unwieldy addresses. It was the first notable URL shortening service, and it arrived years before shortening became a category.

Twitter used TinyURL as its default shortener until May 2009, which put it in front of a mass audience during the period when character limits made short links essential.

Since then it's grown from a single-purpose utility into a link management platform: branded domains, click analytics with two years of retained history, editable destinations, QR codes, bulk creation and a REST API. It now serves over 4.4 million registered users and has created billions of links.

Which are the primary technologies used for building your product?

TinyURL's answer

TinyURL is a cloud-hosted web application, accessible from any browser with no install. Its public interface is a REST API (v2.4.2) published as an OpenAPI 3.0 specification and authenticated with bearer tokens, covering link creation, editing, destination changes, analytics retrieval and bulk batch processing.

Who are some of the biggest customers of your product?

TinyURL's answer

Twitter used TinyURL as its default URL shortener until May 2009.

User comments

Share your experience with using TinyURL and NumPy. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

TinyURL no reviews yet
NumPy no reviews yet

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

TinyURL 6 mentions
NumPy 122 mentions
  • 🔐 Design a TinyURL System (Like Bit.ly) — From Scratch
    Import string Class TinyURL: def __init__(self): self.url_to_code = {} self.code_to_url = {} self.counter = 1 self.alphabet = string.ascii_letters + string.digits def encode_base62(self, num): ... - Source: dev.to / about 1 year ago
  • URL shorteners and why would you need one?
    Choose a shortener: Pick a link shortener that fits your needs---many offer options like custom branding, QR code creation, and analytics. Ziplink, Short.io, and Bitly are all capable of that. If you are looking for something really... - Source: dev.to / over 1 year ago
  • Building a Scalable URL Shortener with Node.js (Part 1/2)
    I'm sure you're familiar with URL shortener tools like TinyURL and Bitly, as they are widely used online. It simply takes a long URL and creates a shorter, unique alias that redirects to the original link. - Source: dev.to / almost 2 years ago

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Alternatives to TinyURL and NumPy

When comparing TinyURL and NumPy, you can also consider the following products.