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NumPy VS ProBackup

Compare NumPy VS ProBackup and see what are their differences

NumPy

NumPy is the fundamental package for scientific computing with Python

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
ProBackup

Backup and restore for Asana, ClickUp, Monday & more

Rating
0 reviews
Pricing
Paid Free trial $31 / Monthly (Up to 10GB)
Alternatives Is it good?
CloudCLI
Shared cloud environments for AI coding agents. Run Claude Code, Cursor CLI, Codex, and Gemini CLI from any device, API, or automation tool. sponsored
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 more popular. It has been mentioned 122 times since March 2021.

social mentions
122 vs 0
Data Science And Machine Learning popularity
100% vs 0%
alternatives listed
240+ vs 38

Base details

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

NumPy
ProBackup
Website numpy.org probackup.io
Pricing
Open source
Paid Free trial $31 / Monthly (Up to 10GB) Official pricing
Company — Startup from Belgium · 1 - 9 employees · 2019
Listed in
Data Science And Machine Learning Data Science Tools Python Tools Software Libraries +1
Productivity Developer Tools Tech Cyber Security Security & Privacy Backup & Restore Backup And Disaster Recovery Backup & Sync Data Backup +6

About NumPy and ProBackup

In their own words, as submitted to SaaSHub.

NumPy
ProBackup

No description of NumPy yet.

ProBackup provides daily, automated backups for the productivity and CRM apps your team runs on: Asana, ClickUp, Monday, Airtable, Trello, Notion, Jira, Slack, HubSpot, Podio, and more. Connect each app via secure OAuth and we automatically back up your data every 24 hours. No scheduling, no...

Read more about ProBackup

Features and specs

What each product offers, as listed by its team.

NumPy 5 features
ProBackup 4 features
  • 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.
  • Instant Access to Historical Versions
    Navigate backups effortlessly with our intuitive interface. Compare past versions of your data, metadata, and files, and quickly locate the backup you need for tables, records, comments, and field configurations.
  • Smart Integrity Checks & Proactive Alerts
    We go beyond simple backups. ProBackup continuously monitors your data, alerting you if something seems off—like a sudden drop in the number of backed-up tables. Stay informed with automated weekly status reports.
  • One-Click, Granular Restore
    Recover deleted records, tables, and more in just a few clicks. Our restore process ensures that all related data, such as comments and files, are recovered together.
  • Sync Backups to Google Drive
    Keep an additional copy of your data in Google Drive. Sync your records to Google Sheets and automate the download of attachments to your local device.

Analysis

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

NumPy
ProBackup

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.

Overall verdict

  • ProBackup is a solid cloud backup solution for businesses that rely on SaaS tools, offering automated, secure backups that help protect against data loss and simplify recovery.

Why this product is good

  • Automated daily backups reduce the risk of losing critical business data
  • Supports popular SaaS platforms like GitHub, GitLab, Trello, and more
  • Secure encrypted storage helps meet data protection and compliance needs
  • Easy setup and management with a straightforward interface
  • Reliable data restore options for quick recovery after accidental deletions or outages

Recommended for

  • Small and medium-sized businesses using multiple SaaS tools
  • Development teams needing to back up code repositories like GitHub and GitLab
  • Companies with compliance and data protection requirements
  • Teams wanting automated, hands-off backup solutions
  • Organizations seeking protection against accidental data loss or vendor outages

Videos

Walkthroughs and reviews on video.

NumPy 3 videos + Add
ProBackup 0 videos + Add

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

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

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
NumPy
ProBackup
100% 100%
Data Science And Machine Learning
0% 0%
0% 0%
Productivity
100% 100%
100% 100%
Data Science Tools
0% 0%
0% 0%
Backup And Disaster Recovery
100% 100%

Questions & Answers

As answered by people managing NumPy and ProBackup.

Which are the primary technologies used for building your product?

ProBackup's answer:

Infrastructure runs on AWS. Backup files are stored in AWS S3 and metadata (IDs, tree structure, webhook registrations) in AWS RDS, encrypted at rest with AES-256 via AWS Key Management Service. Customers can choose from nine AWS regions (Ireland, Frankfurt, London, North Virginia, Montreal, São Paulo, Sydney, Singapore, Tel Aviv). ProBackup connects to each source app through its official API over OAuth, with all tokens AES-256 encrypted using unique initialization vectors. Data in transit is secured via SSL/TLS on port 443, enforced with HSTS. The backup engine is incremental and versioned, creating independent snapshots each cycle.

What's the story behind your product?

ProBackup's answer:

ProBackup started in 2017 as Momentum Tools, originally built to back up Podio. As more teams moved their operations into a growing range of SaaS apps and hit the same blind spot — that vendors don't protect customer data from customer-side mistakes — the product expanded. In August 2020 it relaunched under the ProBackup brand, adding Asana as the first new platform, and grew steadily from there to cover 20+ apps. A major platform refresh came in September 2023, SOC 2 compliance was achieved in May 2025, and the current version (3.0), with a completely redesigned UI, launched in August 2025. Today ProBackup is a lean, product-led company (ProBackup BV) serving ~2,500 customers.

What makes your product unique?

ProBackup's answer:

ProBackup is purpose-built for SaaS productivity and CRM apps — not files or servers. It backs up the data living inside Asana, ClickUp, Monday, Airtable, HubSpot, Trello, Notion, Jira, Slack, Podio, and 20+ other tools, fully automatically every 24 hours. The key insight: your SaaS vendor backs up their own infrastructure for their disaster recovery, not to protect your work. If your team — or an AI agent acting inside the app — deletes or overwrites a record, the vendor can't bring it back. That gap is what ProBackup fills. Backups are incremental and versioned, so you get point-in-time recovery and can restore exactly what you need: a single field, a comment, a whole project. Optional Google Drive sync adds a second, independent layer of redundancy you control.

Why should a person choose your product over its competitors?

ProBackup's answer:

A few reasons. Breadth: one account covers 20+ platforms, and you can add unlimited apps on any plan. Granularity: restore a single record or an entire board, with point-in-time recovery to any previous day. No setup overhead: backups run automatically every 24 hours — no scheduling, no maintenance. Independent redundancy: unlike tools that dump a new CSV after every cycle, ProBackup syncs to a live Google Sheet you own, so you keep a usable copy even if ProBackup is unavailable. And trust: SOC 2 compliant, AES-256 encryption, isolated key management (no one at ProBackup can read your raw data), and a choice of nine AWS storage regions worldwide. It's a focused, product-led tool — self-serve onboarding, simple UI, transparent pricing.

How would you describe the primary audience of your product?

ProBackup's answer:

Teams that run their daily operations inside SaaS productivity and CRM apps and can't afford to lose that data — typically SMBs and mid-market companies, often without a dedicated IT/backup function. The buyer is usually the admin, operations lead, or team owner responsible for an Asana, ClickUp, Monday, HubSpot, or Airtable workspace who recognizes that accidental deletion, a rogue integration, a departing employee, or an AI agent gone wrong could wipe out work the vendor won't restore. ~2,500 customers today, with a 35% trial-to-paid conversion rate.

User comments

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Reviews and articles

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

NumPy no reviews yet
ProBackup no reviews yet

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We have no reviews of ProBackup yet. Be the first one to post

Social recommendations and mentions

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

NumPy 122 mentions
ProBackup 0 mentions

View more

Tracking ProBackup since May 2024.

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