Comparison

Progressive Overload Training vs NetaData

Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.

Head to head
About

Progressive Overload Training

Features
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Progressive overload training is a fundamental principle in fitness that involves gradually increasing the intensity of your workouts over time to stimulate continuous muscle adaptation and growth. The concept revolves around pushing the body beyond its current capabilities by progressively increasing the load, volume, or intensity of exercises. By challenging muscles with incremental stress, the body responds by becoming stronger and more resilient. This systematic approach is key to achieving long-term fitness goals, as it prevents plateaus and promotes consistent improvement. Integrating progressive overload into your training regimen is a proven strategy for enhancing strength, endurance, and overall physical performance. Introducing Provtra - Your Ultimate Workout Tracker! Effortless Workout Management: Simplify your fitness routine by adding new workouts with personalized names and choosing specific muscle groups. Alternatively, select exercises from our extensive Provtra database. Quick Help & Detailed Instructions: Access quick help when choosing exercises from the database. Dive into detailed instructions, photos, and video demonstrations to refine your form and maximize your workouts. Swift Workout Logging: Log your workouts seamlessly by specifying date, time, repetitions, and weight. The one-click reload feature allows for quick re-entry of the same exercise, ensuring efficient tracking. Insightful Workout History: Delve into your workout history with intuitive graphs showcasing reps and weight trends over time. Customize date ranges to view detailed logs or comprehensive charts. Integrated Personal Metrics: Record additional metrics such as weight, height, BMI, and fat percentage alongside your workouts. Gain insights into how these metrics align with your evolving strength. Customizable Settings: Tailor Provtra to your preferences with customizable settings. Enable or disable additional graph metrics, choose default reps, and benefit from automatic recall for each workout. Comprehensive Exercise Database: Explore Provtra's extensive exercise library, featuring a diverse range categorized by force (push, pull), type (cardio, powerlifting, strength), mechanics (compound, isolation), difficulty, equipment, and primary/secondary muscle groups. Discover new exercises to diversify and enhance your fitness routine. LICENSED APPLICATION END USER LICENSE AGREEMENT https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

About

NetaData

Features
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===Definition data===: A class of data is described by defining multiple properties. Support basic properties (integer, double, string, date) and data properties (text, picture, movie). One property of the data class corresponds to one column of multi row and multi column data. One object of the data class corresponds to one row of multi row and multi column data. ===Edit Data===: You can add and edit objects, modify its basic properties or data properties. import and export objects in CSV format. Objects can be imported from CSV files exported from Number or Excel apps. Or objects can be exported to CSV files to be imported into Number or Excel apps. Importing also supports Json format. ===Import Data===: Copy text or files in CSV or JSON format and paste them into the application.  Or collecting data by accessing a configured URL with CSV or JSON content every n seconds. Basic properties in CSV or JSON are provided as values. Data properties in CSV or JSON are provided as urls which contain the data. ===Export Data===: Support exporting basic properties in CSV format.  Generate text in CSV format for the basic properties, then export(copy or save it as a CSV file). Group summaries can also be exported as CSV. ===Group, Filter and Sort Data in List and Charts===: You can filter, group, sort, and display the objects of the data class according to any five properties of the data class. Support three different filtering and display settings to help you view data from different perspectives. Support quick search on the filtered objects per keywords. Filtering supports multiple conditions (text contain, contained in some text, greater than, less than, equal-to, and not-equal). Sorting supports ascending or descending order. Display supports list display and kinds of chart display. One grouping property and the other four properties you selected will be displayed in the list. You can set the aggregation type for each property of the four properties. Filter conditions, display color and precision can be set for each of the five properties. The list group header displays the value of the group property and the aggregation information (count, sum, median, average etc.) of the group. Each row of the list displays four properties of the object according to four importance levels. The precision settings are used for grouping, filtering, and displaying. Chart display, grouped by the group-by property, with the first two of the four properties you select as the X axis and Y axis, displays line chart, bar chart, point chart and area chart. A sector chart is grouped by the group-by property, displaying the objects number in each group or the aggregated value of a property. It means that any two properties can be used as the X axis and Y axis to draw a chart. You can set two ruler lines for the X axis or Y axis. === Subscription ===: You can add and explore 99, 999, or 9999 objects by subscribing. Note: Because this app can only be used with a subscription, please export your data before your subscription expires if you don't want to renew your subscription. === EULA ===: [standard Apple Terms of Use (EULA)](https://www.apple.com/legal/internet-services/itunes/dev/stdeula/)

Screenshots

Progressive Overload Training4 screens
NetaData4 screens

Verdict

The call

The clearest difference is ads: NetaData at none against Progressive Overload Training's shown. NetaData also leads on update cadence (every 2 days vs weekly). On price, in-app purchases, device support and iOS requirement there is nothing between them.

Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS

CostPrice · In-app purchases · Ads · Monetization

Both are free to download. Progressive Overload Training sells 2 in-app purchases, starting at $0.99 per month and NetaData sells 3 in-app purchases, starting at $3.99 per month. Whichever you choose, the download price is not the number that matters.

UpkeepUpdate frequency

Progressive Overload Training ships an update weekly, NetaData every 2 days. The most recent releases landed on October 4, 2026 and October 18, 2026 respectively.

Scorecard2 real differences · 4 level
Progressive Overload Training versus NetaData: the parameters behind the verdict, then further details
ParameterProgressive Overload TrainingNetaData
PriceFreeFree
Update frequencyWeeklyEvery 2 days — better
AdsYesNo — better
In-app purchasesYesYes
DevicesiPhone, iPadiPhone, iPad
Requires iOS17.017.0
Further details — not scored
Size17 MB2 MB
Age rating4+4+
DeveloperMuhammad Hassan勇 崔

In-app purchases

2 purchases

Progressive Overload Training

Subscriptions2
  • Provtra Monthly Pro$0.991 Month
  • Provtra Yearly Pro$9.991 Year
3 purchases

NetaData

Subscriptions3
  • 99 objects7 Days trial$3.991 Month
  • 999 objects$4.991 Month
  • 9999 objects$5.991 Month

Questions

Is Progressive Overload Training free?
Progressive Overload Training is free to download, with in-app purchases available.
Is NetaData free?
NetaData is free to download, with in-app purchases available.
Do Progressive Overload Training or NetaData have ads?
Progressive Overload Training shows ads; NetaData does not.
Which is updated more often, Progressive Overload Training or NetaData?
Progressive Overload Training ships an update weekly, and NetaData every 2 days. Most recently, Progressive Overload Training was updated on October 4, 2026 and NetaData on October 18, 2026.

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