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FPDS Query VS assertpy

Compare FPDS Query VS assertpy and see what are their differences

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FPDS Query logo FPDS Query

Search federal contract awards, identify top contractors, analyze agency spending, and explore FPDS/SAM.gov procurement data.

assertpy logo assertpy

A straightforward assertion library for Python.
  • FPDS Query Calculate total obligated amount per year across all contracts
    Calculate total obligated amount per year across all contracts //
    2026-07-06
  • FPDS Query This query helps you search for vendors by partial name
    This query helps you search for vendors by partial name //
    2026-07-06
  • FPDS Query Small businesses with non-competitive contracts below $10M
    Small businesses with non-competitive contracts below $10M //
    2026-07-06
  • FPDS Query Top Federal Vendors by Recent Obligations โ€” NAICS 334510 / PSC 6515
    Top Federal Vendors by Recent Obligations โ€” NAICS 334510 / PSC 6515 //
    2026-07-06
  • FPDS Query Saved Procurement Queries in FPDS Query
    Saved Procurement Queries in FPDS Query //
    2026-07-06
  • FPDS Query Federal Procurement Data Sources
    Federal Procurement Data Sources //
    2026-07-06
  • FPDS Query This query retrieves vendors, amounts, contract numbers, and agencies -- involved in contracts related to "artificial intelligence" in 2024.
    This query retrieves vendors, amounts, contract numbers, and agencies -- involved in contracts related to "artificial intelligence" in 2024. //
    2026-07-06
  • FPDS Query Active Cybersecurity SAM.gov Opportunities with Contacts
    Active Cybersecurity SAM.gov Opportunities with Contacts //
    2026-07-06
  • FPDS Query Top Federal Subcontractors by Award Amount
    Top Federal Subcontractors by Award Amount //
    2026-07-06
  • FPDS Query Active SAM.gov Vendors by State
    Active SAM.gov Vendors by State //
    2026-07-06
  • FPDS Query SAM Exclusion Risk Intelligence: Top Excluding Agencies
    SAM Exclusion Risk Intelligence: Top Excluding Agencies //
    2026-07-06
  • FPDS Query Federal Assistance Subaward Intelligence: Top Subrecipients
    Federal Assistance Subaward Intelligence: Top Subrecipients //
    2026-07-06

FPDS Query is a federal procurement intelligence platform for contractors, consultants, analysts, and business development teams that need faster access to public U.S. government contracting data.

The platform helps users analyze FPDS contract awards, SAM.gov opportunities, contractor records, GSA contract data, subcontract awards, assistance subawards, and exclusion records in one searchable environment.

FPDS Query can be used to identify agencies buying specific products or services, research incumbent contractors, analyze competitors, review NAICS and PSC market activity, track historical award patterns, connect active SAM.gov opportunities to past federal buying behavior, and support bid/no-bid research.

Typical use cases include federal market research, capture planning, competitor analysis, agency spending analysis, opportunity discovery, incumbent research, GSA contract research, and public procurement data analysis.

  • assertpy Landing page
    Landing page //
    2022-11-06

FPDS Query

Website
getwab.com
$ Details
freemium $149 / Monthly
Platforms
Webflow Web SaaS Cloud
Release Date
2026 May
Startup details
Country
United States
State
Florida
City
Sarasota
Employees
1 - 9

assertpy

Website
github.com
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-
Categories

FPDS Query features and specs

  • Federal Award Search
    Search and analyze FPDS contract awards by agency, vendor, NAICS, PSC, fiscal year, obligations, and contracting office.
  • SAM.gov Opportunity Research
    Find active federal opportunities and connect notices to historical FPDS award activity and related buying patterns.
  • Competitor & Incumbent Analysis
    Identify top contractors, incumbent vendors, recent related awards, recompete signals, and market concentration by NAICS/PSC.
  • Multi-Dataset Procurement Data
    Includes FPDS awards, SAM.gov opportunities, contractor records, GSA contracts, subcontract awards, assistance subawards, and exclusions.
  • AI Query Assistant
    Helps users generate procurement research queries for federal market, agency, vendor, and opportunity analysis.
  • SQL Query Interface
    Allows advanced users to run structured procurement data analysis across large federal datasets.

assertpy features and specs

  • Fluent API
    Assertpy offers a fluent API that makes assertions more readable and expressive, enabling developers to write assertions in a natural language style that is easy to understand.
  • Chainable Assertions
    It allows for chainable assertions, enabling multiple checks to be performed in a single line of code, thereby reducing verbosity and enhancing clarity.
  • Comprehensive Assertion Methods
    The library provides a wide range of built-in assertion methods, catering to various types of data validations, such as checking for size, type, value, and more.
  • Extensibility
    Assertpy supports extending its functionality by defining custom assertions, allowing developers to tailor it to their specific needs.
  • Pythonic
    Designed with Pythonic principles in mind, Assertpy fits seamlessly into Python projects, enabling idiomatic and consistent code style.

Possible disadvantages of assertpy

  • Learning Curve
    Developers new to the library may encounter a learning curve due to the distinct approach of using fluent and chainable assertions as opposed to traditional methods.
  • Limited by Python Version
    The library may have limitations in terms of compatibility with older versions of Python, requiring users to ensure their environment is up-to-date.
  • Performance Overhead
    The additional abstraction layer introduced by a fluent interface might introduce some performance overhead, especially in performance-critical or resource-constrained environments.
  • Less Community Support
    Compared to more established testing libraries, Assertpy might have less community support and fewer resources available for resolving issues or getting help.
  • Dependency Management
    Using a third-party library introduces additional dependencies to manage, which could complicate project maintenance and compatibility.

Analysis of FPDS Query

Overall verdict

  • FPDS Query by getwab.com is a solid, purpose-built tool for accessing and analyzing federal procurement data with a simpler and more user-friendly interface than the official FPDS-NG system, making it a good choice for those who need efficient contract data lookups without a steep learning curve.

Why this product is good

  • Provides a more intuitive and streamlined interface compared to the official FPDS-NG website
  • Enables fast searching and filtering of federal contract award data
  • Useful for tracking government spending, contractors, and agency procurement trends
  • Can save time for professionals who frequently need to pull federal contract data
  • Often includes export or reporting features that simplify data analysis

Recommended for

  • Government contracting professionals researching competitors or agency spending
  • Business development teams seeking federal contract opportunities
  • Journalists or researchers analyzing government spending patterns
  • Small businesses evaluating federal market opportunities
  • Consultants who need quick access to procurement data without navigating complex government portals

Analysis of assertpy

Overall verdict

  • assertpy is a well-regarded, lightweight assertion library for Python that provides a fluent, chainable API for writing readable and expressive test assertions, making it a solid choice for improving test clarity.

Why this product is good

  • Offers a fluent, chainable assertion syntax that makes tests more readable and self-documenting
  • Comprehensive built-in assertions for strings, numbers, lists, dicts, files, dates, and more
  • Produces clear, descriptive failure messages that speed up debugging
  • Lightweight with minimal dependencies and easy to integrate into existing test suites
  • Framework-agnostic, working seamlessly with pytest, unittest, and other test runners
  • Actively maintained open-source project with good documentation and community support

Recommended for

  • Python developers who want more readable and expressive test assertions
  • Teams using pytest or unittest looking to enhance assertion clarity
  • Projects that value descriptive failure messages for faster debugging
  • Developers coming from fluent assertion libraries in other languages (like AssertJ or Chai)
  • QA engineers and testers writing maintainable, self-documenting test code

Category Popularity

0-100% (relative to FPDS Query and assertpy)
Data Analytics
100 100%
0% 0
Testing
0 0%
100% 100
Business Intelligence
100 100%
0% 0
Python
0 0%
100% 100

Questions & Answers

As answered by people managing FPDS Query and assertpy.

Which are the primary technologies used for building your product?

FPDS Query's answer

FPDS Query is built as a web-based SaaS platform using Laravel, PHP, JavaScript, ClickHouse, SQL, and AI-assisted query workflows.

The platform uses ClickHouse for large-scale federal procurement data analysis and provides a searchable interface for working with FPDS, SAM.gov, GSA, subcontract, assistance, and exclusion datasets.

Who are some of the biggest customers of your product?

FPDS Query's answer

FPDS Query is currently used by early users, independent researchers, small business contractors, and GovCon professionals.

Public customer names are not listed at this time.

What makes your product unique?

FPDS Query's answer

FPDS Query combines multiple public federal procurement datasets in one searchable environment, including FPDS awards, SAM.gov opportunities, contractor records, GSA contract data, subcontract awards, assistance subawards, and exclusion records.

Instead of checking separate government portals manually, users can analyze agency spending, vendors, incumbents, NAICS/PSC markets, recent awards, and opportunity history from one platform.

Why should a person choose your product over its competitors?

FPDS Query's answer

FPDS Query is built for fast, practical federal procurement research. It helps users move from public raw data to direct market intelligence questions, such as which agencies buy a service, which vendors are active, who may be the incumbent, and how current opportunities connect to historical award activity.

It is useful for contractors, consultants, capture teams, analysts, and small businesses that need procurement data without manually searching multiple federal systems.

How would you describe the primary audience of your product?

FPDS Query's answer

The primary audience includes federal contractors, GovCon consultants, business development teams, capture managers, proposal teams, market researchers, procurement analysts, and small businesses entering the U.S. government contracting market.

FPDS Query is especially useful for users who need to research agencies, competitors, incumbents, NAICS/PSC markets, and federal opportunity signals before making bid/no-bid decisions.

What's the story behind your product?

FPDS Query's answer

FPDS Query was created by GETWAB INC. to make public U.S. federal procurement data easier to use for real market research.

Federal procurement data is public, but it is often fragmented across multiple systems and difficult to analyze at scale. FPDS Query was built to connect awards, opportunities, contractor records, GSA contracts, subcontract data, assistance data, and exclusions into a single research environment.

User comments

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What are some alternatives?

When comparing FPDS Query and assertpy, you can also consider the following products

GovWin IQ - GovWin IQ is the essential source for information, teaming and software solutions to help organizations find, manage and win government business.

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Govini - Govini is a business intelligence platform for companies that sell to the public sector.

HigherGov - Leading market intel and business development tools to help federal contractors and grant recipients find opportunities, build relationships, and win government contracts and grants

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