Spreadsheets · head to head
Rowy vs scikit-learn
Rowy
Spreadsheets
Spreadsheet interface for Google Cloud Firestore with cloud functions written in the browser
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Rowy every Firestore limit is inherited, including the one megabyte per document ceiling and roughly one sustained write per second per document, which surprises users who expect spreadsheet behaviour.; scikit-learn no GPU acceleration by default; limited optional GPU support requires external arrays
- They diverge on capability: Rowy covers Firestore backed grid, scikit-learn covers Classification algorithms.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Rowy and scikit-learn actually diverge.
| Attribute | Rowy | scikit-learn |
|---|---|---|
| Pricing model | Open source, no licence fee | Unknown |
| Platforms | Web | Python, Linux, macOS, Windows |
| Category | Spreadsheets | Machine Learning |
| Founded | Unknown | 2007 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Rowy
- Firestore backed grid
- Browser authored cloud functions
- Typed columns
- Runs in your Google Cloud project
- Role based access
- Form view
- Open source
Only in scikit-learn
- Classification algorithms
- Regression models
- Clustering methods
- Dimensionality reduction
- Model selection
- NumPy
- SciPy
- Pandas
What people use each for
The jobs each tool is most often brought in to do.
Rowy
- A Firebase application that needs an internal admin interface without building onenot scikit-learn
- Operations staff correcting production records in Firestore without developer involvementnot scikit-learn
- Attaching a small transformation or notification function to a field change without a full deployment pipelinenot scikit-learn
- A content team populating documents that a mobile application reads directly from Firestorenot scikit-learn
scikit-learn
- Machine learningnot Rowy
- Data analysisnot Rowy
- Model trainingnot Rowy
- Predictive analyticsnot Rowy
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Rowy
- Every Firestore limit is inherited, including the one megabyte per document ceiling and roughly one sustained write per second per document, which surprises users who expect spreadsheet behaviour.
- Firestore has no joins, so linking tables in the grid is a convenience layer rather than a relational feature and reports across collections still need a separate query.
- It is useful only to teams already on Firebase, so choosing it effectively locks the operational tooling to one cloud vendor.
- Query costs are billed by document read, and an unfiltered grid on a large collection can generate a bill that a spreadsheet user has no intuition for.
- Development activity has slowed relative to the broader category, so evaluate current maintenance before making it load bearing for internal operations.
scikit-learn
- No GPU acceleration by default; limited optional GPU support requires external arrays
- Single-machine only; no built-in distributed computing across clusters
- All datasets must fit entirely in RAM; no out-of-core learning
- No production-grade deep learning; neural network support limited to basic multilayer perceptron
- No reinforcement learning algorithms
Pricing, plan by plan
Rowy
Free- Open source self hostedFree
- No licence fee
- Deploys into your own Google Cloud project
- You pay Google Cloud for Firestore reads, writes and storage
scikit-learn
FreeNo published plan breakdown. See the scikit-learn review.
Which should you pick?
Choose Rowy if
- You need firestore backed grid.
- You want to start without paying.
- You also want browser authored cloud functions.
Choose scikit-learn if
- You need classification algorithms.
- You want to start without paying.
- You work on Python, Linux, macOS, Windows.
- You also want regression models.
Questions people ask
- Is Rowy or scikit-learn better?
- Neither clearly leads. Rowy starts at Free and scikit-learn at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Rowy or scikit-learn?
- Rowy starts at Free and scikit-learn at Free.
- Does Rowy or scikit-learn run on more platforms?
- Rowy runs on Web. scikit-learn runs on Python, Linux, macOS, Windows.
- Can I use Rowy for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Rowy best used for?
- Rowy is most often used for a firebase application that needs an internal admin interface without building one, operations staff correcting production records in firestore without developer involvement, attaching a small transformation or notification function to a field change without a full deployment pipeline, a content team populating documents that a mobile application reads directly from firestore. Of those, a firebase application that needs an internal admin interface without building one and operations staff correcting production records in firestore without developer involvement are not what scikit-learn is typically brought in for.
- What can Rowy do that scikit-learn cannot?
- Rowy covers Firestore backed grid, Browser authored cloud functions, Typed columns, Runs in your Google Cloud project. scikit-learn covers Classification algorithms, Regression models, Clustering methods, Dimensionality reduction.
Answered from the vendors’ own pages
Rowy: Where is my data stored?
In your own Firestore instance inside your own Google Cloud project. Rowy does not hold a copy.
scikit-learn: Does scikit-learn support GPU acceleration?
Scikit-learn has no native GPU support by design to keep installation simple and cross-platform. Since 2023, a limited number of estimators can run on GPUs if input data is provided as PyTorch or CuPy arrays, but this requires additional setup.
SourceRowy: What does it cost to run?
No licence fee. You pay Google Cloud for Firestore reads, writes, storage and function invocations, and an open grid on a big collection reads a lot.
scikit-learn: Can scikit-learn handle datasets larger than RAM?
No. Scikit-learn is built on NumPy which requires all data to fit in memory, and NumPy operates on single-machine CPUs only. For very large datasets, consider Spark MLlib or distributed alternatives.
SourceRowy: Can it do joins across collections?
Not really. Firestore does not support joins, and no interface layer can add them.
scikit-learn: Is scikit-learn free to use commercially?
Yes. Scikit-learn is open source under the BSD license, which allows free commercial use, modification, and distribution.
SourceRowy: Is there a row limit?
Not from Rowy. The limits that bite are Firestore document size and per document write throughput.
scikit-learn: What neural network capabilities does scikit-learn have?
Scikit-learn includes only a basic multilayer perceptron (MLPClassifier and MLPRegressor) for simple feedforward networks. For serious deep learning, use PyTorch, TensorFlow, or Keras instead.
SourceRowy: Is it suitable if I am not on Firebase?
No. It is specifically a Firestore interface.
scikit-learn: Does scikit-learn include natural language processing?
Scikit-learn has minimal NLP support limited to basic text feature extraction and vectorization. For comprehensive text processing, use spaCy or NLTK instead.
Sourcescikit-learn: When was scikit-learn first released?
Scikit-learn's first public release was February 1, 2010, following its start as a Google Summer of Code project in 2007.
SourceRelated pages
More on scikit-learn
Other head to heads
- Rowy vs Baserow
- Rowy vs Mathesar
- Rowy vs Budibase
- Rowy vs APITable
- Rowy vs Teable
- Rowy vs Quadratic
- Rowy vs Fibery
- Rowy vs Google Sheets
- Rowy vs Numbers
- Rowy vs Zoho Sheet
- Rowy vs Coefficient
- Rowy vs Sigma Computing
- Rowy vs Equals
- Rowy vs Cube Software
- Rowy vs Keras
- Rowy vs PyTorch
- Rowy vs Apache Spark MLlib
- Rowy vs H2O.ai
- Rowy vs Weka
- Rowy vs BigQuery ML
- Rowy vs Jupyter
- Rowy vs Python
- Rowy vs Anaconda
- Rowy vs AWS SageMaker
- Rowy vs ClearML
- Rowy vs Cohere
- Rowy vs Dask
- Rowy vs Fal AI
- Rowy vs Groq
- Rowy vs TensorFlow
- Rowy vs Google Vertex AI
- scikit-learn vs Baserow
- scikit-learn vs Mathesar
- scikit-learn vs Budibase
- scikit-learn vs APITable
- scikit-learn vs Teable
- scikit-learn vs Quadratic
- scikit-learn vs Fibery
- scikit-learn vs Google Sheets
- scikit-learn vs Numbers
- scikit-learn vs Zoho Sheet
- scikit-learn vs Coefficient
- scikit-learn vs Sigma Computing
- scikit-learn vs Equals
- scikit-learn vs Cube Software
- scikit-learn vs Keras
- scikit-learn vs PyTorch
- scikit-learn vs Apache Spark MLlib
- scikit-learn vs H2O.ai
- scikit-learn vs Weka
- scikit-learn vs BigQuery ML
- scikit-learn vs Jupyter
- scikit-learn vs Python
- scikit-learn vs Anaconda
- scikit-learn vs AWS SageMaker
- scikit-learn vs ClearML
- scikit-learn vs Cohere
- scikit-learn vs Dask
- scikit-learn vs Fal AI
- scikit-learn vs Groq
- scikit-learn vs TensorFlow
- scikit-learn vs Google Vertex AI