DATA CONVERSION · FREE DEVELOPER TOOL
Semantic Version Range Calculator
Expands npm-style semantic version ranges, tests whether a version satisfies them and checks a list of candidate releases. Free, instant and entirely client-side.
Caret ranges are narrower for 0.x versions: ^1.2.3 allows <2.0.0, while ^0.2.3 allows <0.3.0 and ^0.0.3 allows only that patch.
Expands npm-style semantic version ranges, tests whether a version satisfies them and checks a list of candidate releases.
- Random bits in UUID v4
- 122 bits
- Source: RFC 9562
- Random bits in UUID v7
- 74 bits
- Source: RFC 9562
- Common env size limit
- 4 KB
- Source: Serverless platforms
- Common directory mode
- 755
- Source: POSIX permissions
Quick answer
Expands npm-style semantic version ranges, tests whether a version satisfies them and checks a list of candidate releases. The calculator applies range = or groups of and comparators; satisfied = every comparator in at least one group matches the version and shows every intermediate value.
On this page
- 1Quick Answer
- 2Interactive Calculator
- 3Semantic Version Range Calculator: Calculation Breakdown
- 4Key Takeaways
- 5Data Structure / Code Conversion Utilities Reference Numbers
- 6Implementation Approaches
- 7Reference Tables
- 8Formulas & How to Use
- 9Worked Examples
- 10Advanced Guide: Semantic Version Range Calculator
- 11Language Playbooks
- 12Glossary
- 13Mistakes & Pro Tips
- 14Use Cases
- 15Related Calculators
- 16Long-Tail Answers
- 17FAQs (28)
- 18References
Interactive Calculator
Enter a value — every result updates instantly, in your browser. Free forever, no sign-up.
Semantic Version Range Calculator
Every input is evaluated locally in your browser with deterministic arithmetic.
Live result
Range satisfied
1.5.0 is inside >=1.2.3 <2.0.0 || >=2.0.0 <3.0.0; 4 of 6 candidates match.
Range as written
^1.2.3 || >=2.0.0 <3.0.0
Normalized range
>=1.2.3 <2.0.0 || >=2.0.0 <3.0.0
Test version
1.5.0
Satisfies range
Yes
Semantic Version Range Calculator: Calculation Breakdown
Every input, intermediate value and result row behind the estimate.
| Range as written | ^1.2.3 || >=2.0.0 <3.0.0 |
|---|---|
| Normalized range | >=1.2.3 <2.0.0 || >=2.0.0 <3.0.0 |
| Test version | 1.5.0 |
| Satisfies range | Yes |
| OR groups | 2 |
| Comparators | 4 |
| Exact pins | 0 |
| Prerelease policy | Excluded |
| Lower bound (first group) | >=1.2.3 |
| Upper bound (first group) | <2.0.0 |
| Candidates checked | 6 |
| Valid candidates | 6 |
| Matching candidates | 4 |
| Invalid candidates | 0 |
| Lowest match | 1.2.3 |
| Highest match | 2.5.0 |
| Matching versions | 1.2.3, 1.9.9, 2.0.0, 2.5.0 |
Candidate versions
| Input | Parsed | Satisfies | Note |
|---|---|---|---|
| 1.0.0 | 1.0.0 | No | Outside range |
| 1.2.3 | 1.2.3 | Yes | Match |
| 1.9.9 | 1.9.9 | Yes | Match |
| 2.0.0 | 2.0.0 | Yes | Match |
| 2.5.0 | 2.5.0 | Yes | Match |
| 3.0.0 | 3.0.0 | No | Outside range |
Step-by-step calculation
- 1The range expands to >=1.2.3 <2.0.0 || >=2.0.0 <3.0.0.
- 21.5.0 matches at least one group of the 2 OR groups.
- 3The first group allows >=1.2.3 to <2.0.0.
- 44 of 6 valid candidates satisfy the range; the lowest is 1.2.3 and the highest is 2.5.0.
Key Takeaways
The 30-second version — the exact answers Google loves to feature.
- 1Caret ranges are narrower for 0.x versions: ^1.2.3 allows <2.0.0, while ^0.2.3 allows <0.3.0 and ^0.0.3 allows only that patch.
- 2Prerelease versions are excluded unless a comparator in the same group names the same major.minor.patch with a prerelease tag.
- 3An OR group is satisfied when every comparator inside it matches; groups are alternatives, so one matching group is enough.
- 4Formula: range = OR groups of AND comparators; satisfied = every comparator in at least one group matches the version
- 5Default scenario: Range satisfied
Data Structure / Code Conversion Utilities Reference Numbers
Useful benchmarks to sanity-check the output before you commit to a decision.
- Random bits in UUID v4
- 122 bits
- Source: RFC 9562
- Random bits in UUID v7
- 74 bits
- Source: RFC 9562
- Common env size limit
- 4 KB
- Source: Serverless platforms
- Common directory mode
- 755
- Source: POSIX permissions
- PostgreSQL bind parameter limit
- 65535
- Source: Extended protocol
- Client-side conversion
- 100%
- Source: No data uploaded
Implementation Approaches
Three practical ways teams use semantic version range calculator, with the precision and safeguards each one needs.
Round-trip verification
Best for: Escaping, encoding and permission conversions
- Method: Convert the value, decode it back with the target parser and compare the result with the original byte sequence.
- Precision: Test non-BMP characters, control characters, quotes, backslashes, newlines and an empty value.
- Safeguards: Escape at the output boundary and rely on the framework encoder rather than manual replacement.
Contract-first types
Best for: JSON-to-TypeScript, JSON-to-struct and SQL placeholder work
- Method: Collect several representative samples, infer the shape, then review optional fields, nulls and unions before committing the type or schema.
- Precision: Treat one sample as a lower bound on the real contract; add schema validation for runtime data.
- Safeguards: Run the generated types through CI and compare them with the next API revision.
Least-privilege configuration
Best for: Permissions, .env files, identifiers and dependency ranges
- Method: Choose the smallest permission set, keep secrets out of version control and pin or narrow version ranges deliberately.
- Precision: Account for the umask, the deployment platform limits and the full identifier lifetime.
- Safeguards: Audit world-writable files, setuid binaries, committed secrets and unpinned production dependencies.
Quick Reference Tables
Widths, ranges, boundary values and language types — the lookup tables you will come back to.
Where each escape applies
| Context | Escape | Main risk |
|---|---|---|
| HTML text | & < > and quotes | Markup injection |
| HTML attribute | Quotes, ampersand and newlines | Attribute breakout |
| JavaScript string | \uXXXX, \\ and quotes | Syntax error or code injection |
| JSON string | \" \\ \n | Invalid JSON |
| CSS string | \\, \A and the matching quote | Declaration breakout |
| URL component | Percent-encoded UTF-8 bytes | Reserved-byte ambiguity |
| .env double quotes | \$ \" \\ \n | Interpolation or truncation |
| Shell single quotes | '\'' for an embedded quote | Word splitting |
Formulas & How to Use This Calculator
Core relationship
range = OR groups of AND comparators; satisfied = every comparator in at least one group matches the version
Unit convention
Inputs are version range, version to test, prerelease versions, candidate versions to check. Keep each unit consistent with the result rows; convert before comparing estimates that use different units or time windows.
Validation
1. Reproduce the headline from the displayed rows. 2. Compare the result with a measured, billed or benchmarked value. 3. Re-run with a boundary input and with a scaled input. 4. Record the assumptions, source and date next to the result.
How to use — step by step
- Open the Semantic Version Range Calculator and review the input defaults.
- Replace version range with your measured or planned value.
- Set version to test (A full semantic version such as 1.5.0 or 2.0.0-rc.1.).
- Set prerelease versions (default exclude).
- Set candidate versions to check (Comma, space or newline separated.).
- Read the headline result and compare it with the supporting rows in the breakdown.
- Test one boundary value and one scaled value to understand the sensitivity.
- Copy or record the result together with the units and assumptions used.
Worked Examples
Real numbers and raw bits, fully worked — copy the pattern for your own code or protocol.
Caret plus explicit upper range
Inputs
Version range = ^1.2.3 || >=2.0.0 <3.0.0; Version to test = 1.5.0; Prerelease versions = exclude; Candidate versions to check = 1.0.0, 1.2.3, 1.9.9, 2.0.0, 2.5.0, 3.0.0
Math
range = OR groups of AND comparators; satisfied = every comparator in at least one group matches the version
Result
Range satisfied · Range as written: ^1.2.3 || >=2.0.0 <3.0.0 · Normalized range: >=1.2.3 <2.0.0 || >=2.0.0 <3.0.0 · Test version: 1.5.0
Tilde range with a prerelease candidate
Inputs
Version range = ~1.4.1; Version to test = 1.4.9; Prerelease versions = exclude; Candidate versions to check = 1.4.0, 1.4.1, 1.4.9, 1.5.0, 1.5.0-beta.1
Math
range = OR groups of AND comparators; satisfied = every comparator in at least one group matches the version
Result
Range satisfied · Range as written: ~1.4.1 · Normalized range: >=1.4.1 <1.5.0 · Test version: 1.4.9
Hyphen range including prereleases
Inputs
Version range = 1.0.0 - 2.0.0; Version to test = 2.0.0-rc.1; Prerelease versions = include; Candidate versions to check = 0.9.0, 1.0.0, 1.8.0, 2.0.0-rc.1, 2.0.0, 2.0.1
Math
range = OR groups of AND comparators; satisfied = every comparator in at least one group matches the version
Result
Range satisfied · Range as written: 1.0.0 - 2.0.0 · Normalized range: >=1.0.0 <=2.0.0 · Test version: 2.0.0-rc.1
Advanced Guide: Semantic Version Range Calculator
Beyond the calculator — how to use semantic version range calculator in real engineering, capacity and review decisions.
What the Semantic Version Range Calculator measures
Expands npm-style semantic version ranges, tests whether a version satisfies them and checks a list of candidate releases. It turns ordinary project, infrastructure or runtime inputs into a visible number you can defend in a design review. The calculator is deliberately transparent: the result is derived from range = or groups of and comparators; satisfied = every comparator in at least one group matches the version rather than from an opaque benchmark, so you can change one assumption and immediately see how the answer moves.
The formula and its units
The core relationship is range = OR groups of AND comparators; satisfied = every comparator in at least one group matches the version. Every field is labelled with its unit and expected range next to the input, and the breakdown repeats the intermediate values so a reviewer can verify the arithmetic. When you compare two results, make sure both were computed with the same units and the same time window; most apparent differences in data structure / code conversion utilities estimates are really unit or scope mismatches.
A worked check with the default inputs
With the default inputs (Version range = ^1.2.3 || >=2.0.0 <3.0.0; Version to test = 1.5.0; Prerelease versions = exclude; Candidate versions to check = 1.0.0, 1.2.3, 1.9.9, 2.0.0, 2.5.0, 3.0.0), the calculator reports Range satisfied. Change Version range and the headline moves to Range satisfied. That sensitivity is useful: if a small input change produces a large output change, the assumption deserves a source or a range rather than a single guess.
Inputs, assumptions and defaults
The inputs are Version range (Supports ^, ~, comparison operators, hyphen ranges, wildcards and ||.); Version to test (A full semantic version such as 1.5.0 or 2.0.0-rc.1.); Prerelease versions (default exclude); Candidate versions to check (Comma, space or newline separated.). Defaults are realistic starting points, not recommendations for your system. Replace them with measured values wherever possible: production metrics, billing exports, compiler sizeof output, provider documentation or historical project data. Keep the assumptions beside the result so the estimate can be reproduced later.
Reading a low or high result
A low result usually means small scale, generous headroom or optimistic assumptions; a high result means the opposite. Neither is automatically good or bad. Ask which input dominates the change, then compare the result with a second method such as a benchmark, a bill, a query plan or a pilot. Agreement between two independent methods is much stronger evidence than a single formula.
Common mistakes in data structure / code conversion utilities
Assuming ^1.2.3 allows 2.0.0. Forgetting that an OR group with one broken comparator invalidates that whole group. Document the units, the measurement window and the scope, and re-run the calculation when the workload or architecture changes.
How to validate the result
Validate with three checks: reproduce the headline from the displayed rows, compare the estimate with a measured production value, and test a boundary case (zero, one, the maximum or a doubled input). If the three checks disagree, the model or the input is wrong. Record the validation date and the data source so the next reviewer can repeat it.
Where this fits in Data Structure / Code Conversion Utilities
This tool supports escapes, JSON-to-type inference, SQL placeholders, .env files, permissions, UUID collision risk and semantic version ranges. Use it during design, capacity review, incident follow-up or cost planning. Pair it with the related calculators to cover adjacent assumptions, and keep the output with the design decision so future changes can be compared against a known baseline.
Limitations and precision
No estimate is more accurate than its inputs. The calculator assumes steady-state behavior, consistent units and the defaults described in the field help. Real systems have bursty traffic, fragmentation, retries, background jobs and measurement error. Where the result informs a commitment or a budget, add a range and a contingency rather than treating the headline as a guarantee.
Related calculations to run next
The most useful companion tools are Semantic Version Increment Helper, Release Cycle Time Calculator, Deployment Frequency Calculator, Release Frequency Calculator. Together they cover the neighbouring assumptions — for example scale, overhead, failure headroom and cost — so you can present a complete estimate rather than a single isolated number.
Language & Platform Playbooks
The same bit pattern behaves differently in every language. Here is how to adapt the conversion safely.
JavaScript / TypeScript
Use JSON.parse plus a schema validator, escape at the HTML or JSON output boundary, and let a semver library parse ranges instead of comparing strings. For semantic version range calculator, use the same units and time window described in the calculator so the result lines up with your platform data.
Python
Use json.dumps with ensure_ascii when an ASCII payload is required, os.chmod with an explicit mode, and packaging.version for PEP 440 or SemVer-aware comparisons. For semantic version range calculator, use the same units and time window described in the calculator so the result lines up with your platform data.
Shell and CI
Use printf %q for safe shell quoting, keep .env files out of the repository, verify modes with stat, and let the release tool write the version tag and package metadata together. For semantic version range calculator, use the same units and time window described in the calculator so the result lines up with your platform data.
SQL and ORMs
Use prepared statements for every value, compute batch size from the driver limit divided by placeholders per row, and log the parameter count when a bulk insert fails. For semantic version range calculator, use the same units and time window described in the calculator so the result lines up with your platform data.
Glossary: Key Terms Explained
- Code point
- A Unicode number that identifies a character, written as U+ followed by hexadecimal digits.
- Surrogate pair
- Two UTF-16 code units that together represent one code point above U+FFFF.
- Percent-encoding
- Representing a byte in a URL as a percent sign followed by two hexadecimal digits.
- Parameter placeholder
- A marker such as ?, $1 or :name that a driver binds to a value before executing a prepared statement.
- Umask
- A mask that removes permission bits from newly created files and directories.
- SemVer
- Semantic Versioning, a MAJOR.MINOR.PATCH scheme with documented compatibility rules and prerelease identifiers.
Common Mistakes & Pro Tips
Mistakes that break conversions
- Assuming ^1.2.3 allows 2.0.0.
- Forgetting that an OR group with one broken comparator invalidates that whole group.
- Mixing units or time windows when comparing two semantic version range calculator results.
- Treating the default values as a recommendation instead of a starting point.
- Reporting a single number without the assumptions, range or measurement date behind it.
Pro tips for production code
- Test the range with real release candidates and prereleases before relying on it in CI.
- Use a lockfile for applications and a range only for libraries.
- Measure the dominant input before refining the model; the largest uncertainty deserves the most attention.
- Keep a short record of the inputs, result and date so future comparisons are meaningful.
- Validate the estimate with a second method — a benchmark, a bill or production telemetry.
- Pair this result with the related calculators (Semantic Version Increment Helper, Release Cycle Time Calculator, Deployment Frequency Calculator) for a complete picture.
Who Should Use This Calculator?
- ▸ Checking whether a dependency range accepts a new release.
- ▸ Debugging why npm selected an unexpected version.
- ▸ Documenting the effective bounds of a range.
- ▸ Capacity review: turn version range into a defensible planning number.
- ▸ Design review: compare two architectures or configurations with the same assumptions.
- ▸ Incident follow-up: quantify the gap between the estimate and observed behaviour.
Related Programming Calculators
Keep going — every tool below links directly into this workflow.
People Also Search For
Tap a long-tail question to jump to the matching FAQ answer.
Frequently Asked Questions (28)
Long-tail answers: each question targets a real Google search about semantic version range calculator — click to expand.
Showing 28 of 28 answers.
What is the difference between ^ and ~ in semver?
Why does 0.2.3 need special handling?
Are prerelease versions included by default?
What does the Semantic Version Range Calculator calculate?
What formula does the Semantic Version Range Calculator use?
What should I enter for version range?
What should I enter for version to test?
What should I enter for prerelease versions?
What should I enter for candidate versions to check?
How do I interpret the Semantic Version Range Calculator result?
What units does the Semantic Version Range Calculator use?
What are common mistakes when calculating semantic version range calculator?
When should I use the Semantic Version Range Calculator?
How can I validate the Semantic Version Range Calculator result?
What is a worked example of the Semantic Version Range Calculator?
What related calculators should I use with the Semantic Version Range Calculator?
Is the Semantic Version Range Calculator free and private?
Can I use the Semantic Version Range Calculator for production planning?
How sensitive is the Semantic Version Range Calculator to version range?
Which escape function should I use for user input?
How should I store and deploy .env files?
What file permissions should I use?
Why does a caret range behave differently below 1.0.0?
What does a typical Semantic Version Range Calculator output look like?
How precise is the Semantic Version Range Calculator?
Does the Semantic Version Range Calculator include overhead?
How often should I re-run the Semantic Version Range Calculator?
What is the best first step after using the Semantic Version Range Calculator?
Resources & Authoritative References
Further reading
- RFC 9562: UUIDs — UUID versions, bit layouts and collision guidance.
- Semantic Versioning 2.0.0 — Version precedence, prerelease rules and compatibility.
- OWASP XSS Prevention — Context-specific output escaping rules.
- dotenv parser — How .env values, quotes and escapes are parsed.
- GNU chmod manual — Octal and symbolic permission syntax.
Authoritative sources
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